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test_ssdp_with_receiver_id_device_exists_abort | (
hass: HomeAssistantType, aioclient_mock: AiohttpClientMocker
) | Test we abort SSDP flow if DirecTV receiver already configured. | Test we abort SSDP flow if DirecTV receiver already configured. | async def test_ssdp_with_receiver_id_device_exists_abort(
hass: HomeAssistantType, aioclient_mock: AiohttpClientMocker
) -> None:
"""Test we abort SSDP flow if DirecTV receiver already configured."""
await setup_integration(hass, aioclient_mock, skip_entry_setup=True)
discovery_info = MOCK_SSDP_DISCOVERY_INFO.copy()
discovery_info[ATTR_UPNP_SERIAL] = UPNP_SERIAL
result = await hass.config_entries.flow.async_init(
DOMAIN,
context={CONF_SOURCE: SOURCE_SSDP},
data=discovery_info,
)
assert result["type"] == RESULT_TYPE_ABORT
assert result["reason"] == "already_configured" | [
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155,
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] | python | en | ['en', 'de', 'en'] | True |
test_unknown_error | (
hass: HomeAssistantType, aioclient_mock: AiohttpClientMocker
) | Test we show user form on unknown error. | Test we show user form on unknown error. | async def test_unknown_error(
hass: HomeAssistantType, aioclient_mock: AiohttpClientMocker
) -> None:
"""Test we show user form on unknown error."""
user_input = MOCK_USER_INPUT.copy()
with patch(
"homeassistant.components.directv.config_flow.DIRECTV.update",
side_effect=Exception,
):
result = await hass.config_entries.flow.async_init(
DOMAIN,
context={CONF_SOURCE: SOURCE_USER},
data=user_input,
)
assert result["type"] == RESULT_TYPE_ABORT
assert result["reason"] == "unknown" | [
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174,
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test_ssdp_unknown_error | (
hass: HomeAssistantType, aioclient_mock: AiohttpClientMocker
) | Test we abort SSDP flow on unknown error. | Test we abort SSDP flow on unknown error. | async def test_ssdp_unknown_error(
hass: HomeAssistantType, aioclient_mock: AiohttpClientMocker
) -> None:
"""Test we abort SSDP flow on unknown error."""
discovery_info = MOCK_SSDP_DISCOVERY_INFO.copy()
with patch(
"homeassistant.components.directv.config_flow.DIRECTV.update",
side_effect=Exception,
):
result = await hass.config_entries.flow.async_init(
DOMAIN,
context={CONF_SOURCE: SOURCE_SSDP},
data=discovery_info,
)
assert result["type"] == RESULT_TYPE_ABORT
assert result["reason"] == "unknown" | [
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193,
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] | python | en | ['en', 'de', 'en'] | True |
test_ssdp_confirm_unknown_error | (
hass: HomeAssistantType, aioclient_mock: AiohttpClientMocker
) | Test we abort SSDP flow on unknown error. | Test we abort SSDP flow on unknown error. | async def test_ssdp_confirm_unknown_error(
hass: HomeAssistantType, aioclient_mock: AiohttpClientMocker
) -> None:
"""Test we abort SSDP flow on unknown error."""
discovery_info = MOCK_SSDP_DISCOVERY_INFO.copy()
with patch(
"homeassistant.components.directv.config_flow.DIRECTV.update",
side_effect=Exception,
):
result = await hass.config_entries.flow.async_init(
DOMAIN,
context={CONF_SOURCE: SOURCE_SSDP, CONF_HOST: HOST, CONF_NAME: HOST},
data=discovery_info,
)
assert result["type"] == RESULT_TYPE_ABORT
assert result["reason"] == "unknown" | [
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212,
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] | python | en | ['en', 'de', 'en'] | True |
test_full_user_flow_implementation | (
hass: HomeAssistantType, aioclient_mock: AiohttpClientMocker
) | Test the full manual user flow from start to finish. | Test the full manual user flow from start to finish. | async def test_full_user_flow_implementation(
hass: HomeAssistantType, aioclient_mock: AiohttpClientMocker
) -> None:
"""Test the full manual user flow from start to finish."""
mock_connection(aioclient_mock)
result = await hass.config_entries.flow.async_init(
DOMAIN,
context={CONF_SOURCE: SOURCE_USER},
)
assert result["type"] == RESULT_TYPE_FORM
assert result["step_id"] == "user"
user_input = MOCK_USER_INPUT.copy()
with patch(
"homeassistant.components.directv.async_setup_entry", return_value=True
), patch("homeassistant.components.directv.async_setup", return_value=True):
result = await hass.config_entries.flow.async_configure(
result["flow_id"],
user_input=user_input,
)
assert result["type"] == RESULT_TYPE_CREATE_ENTRY
assert result["title"] == HOST
assert result["data"]
assert result["data"][CONF_HOST] == HOST
assert result["data"][CONF_RECEIVER_ID] == RECEIVER_ID | [
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243,
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] | python | en | ['en', 'en', 'en'] | True |
test_full_ssdp_flow_implementation | (
hass: HomeAssistantType, aioclient_mock: AiohttpClientMocker
) | Test the full SSDP flow from start to finish. | Test the full SSDP flow from start to finish. | async def test_full_ssdp_flow_implementation(
hass: HomeAssistantType, aioclient_mock: AiohttpClientMocker
) -> None:
"""Test the full SSDP flow from start to finish."""
mock_connection(aioclient_mock)
discovery_info = MOCK_SSDP_DISCOVERY_INFO.copy()
result = await hass.config_entries.flow.async_init(
DOMAIN, context={CONF_SOURCE: SOURCE_SSDP}, data=discovery_info
)
assert result["type"] == RESULT_TYPE_FORM
assert result["step_id"] == "ssdp_confirm"
assert result["description_placeholders"] == {CONF_NAME: HOST}
result = await hass.config_entries.flow.async_configure(
result["flow_id"], user_input={}
)
assert result["type"] == RESULT_TYPE_CREATE_ENTRY
assert result["title"] == HOST
assert result["data"]
assert result["data"][CONF_HOST] == HOST
assert result["data"][CONF_RECEIVER_ID] == RECEIVER_ID | [
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270,
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] | python | en | ['en', 'en', 'en'] | True |
test_get_triggers | (hass, device_reg, entity_reg, mqtt_mock, setup_tasmota) | Test we get the expected triggers from a discovered mqtt device. | Test we get the expected triggers from a discovered mqtt device. | async def test_get_triggers(hass, device_reg, entity_reg, mqtt_mock, setup_tasmota):
"""Test we get the expected triggers from a discovered mqtt device."""
config = copy.deepcopy(DEFAULT_CONFIG)
config["swc"][0] = 0
mac = config["mac"]
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config))
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
expected_triggers = [
{
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_1_TOGGLE",
"type": "button_short_press",
"subtype": "switch_1",
},
]
triggers = await async_get_device_automations(hass, "trigger", device_entry.id)
assert_lists_same(triggers, expected_triggers) | [
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test_get_unknown_triggers | (
hass, device_reg, entity_reg, mqtt_mock, setup_tasmota
) | Test we don't get unknown triggers. | Test we don't get unknown triggers. | async def test_get_unknown_triggers(
hass, device_reg, entity_reg, mqtt_mock, setup_tasmota
):
"""Test we don't get unknown triggers."""
# Discover a device without device triggers
config = copy.deepcopy(DEFAULT_CONFIG)
config["swc"][0] = -1
mac = config["mac"]
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config))
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
assert await async_setup_component(
hass,
automation.DOMAIN,
{
automation.DOMAIN: [
{
"trigger": {
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_0_2",
"type": "button_short_press",
"subtype": "button_1",
},
"action": {
"service": "test.automation",
"data_template": {"some": ("short_press")},
},
},
]
},
)
triggers = await async_get_device_automations(hass, "trigger", device_entry.id)
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] | python | en | ['en', 'en', 'en'] | True |
test_get_non_existing_triggers | (
hass, device_reg, entity_reg, mqtt_mock, setup_tasmota
) | Test getting non existing triggers. | Test getting non existing triggers. | async def test_get_non_existing_triggers(
hass, device_reg, entity_reg, mqtt_mock, setup_tasmota
):
"""Test getting non existing triggers."""
# Discover a device without device triggers
config1 = copy.deepcopy(DEFAULT_CONFIG)
config1["swc"][0] = -1
mac = config1["mac"]
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config1))
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
triggers = await async_get_device_automations(hass, "trigger", device_entry.id)
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test_discover_bad_triggers | (
hass, device_reg, entity_reg, mqtt_mock, setup_tasmota
) | Test exception handling when discovering trigger. | Test exception handling when discovering trigger. | async def test_discover_bad_triggers(
hass, device_reg, entity_reg, mqtt_mock, setup_tasmota
):
"""Test exception handling when discovering trigger."""
config = copy.deepcopy(DEFAULT_CONFIG)
config["swc"][0] = 0
mac = config["mac"]
# Trigger an exception when the entity is discovered
with patch(
"hatasmota.discovery.get_switch_triggers",
return_value=[object()],
):
async_fire_mqtt_message(
hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config)
)
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
triggers = await async_get_device_automations(hass, "trigger", device_entry.id)
assert_lists_same(triggers, [])
# Trigger an exception when the entity is discovered
class FakeTrigger(TasmotaSwitchTriggerConfig):
"""Bad TasmotaSwitchTriggerConfig to cause exceptions."""
@property
def is_active(self):
return True
with patch(
"hatasmota.discovery.get_switch_triggers",
return_value=[
FakeTrigger(
event=None,
idx=1,
mac=None,
source=None,
subtype=None,
switchname=None,
trigger_topic=None,
type=None,
)
],
):
async_fire_mqtt_message(
hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config)
)
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
triggers = await async_get_device_automations(hass, "trigger", device_entry.id)
assert_lists_same(triggers, [])
# Rediscover without exception
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config))
await hass.async_block_till_done()
expected_triggers = [
{
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_1_TOGGLE",
"type": "button_short_press",
"subtype": "switch_1",
},
]
triggers = await async_get_device_automations(hass, "trigger", device_entry.id)
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174,
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] | python | en | ['en', 'en', 'en'] | True |
test_update_remove_triggers | (
hass, device_reg, entity_reg, mqtt_mock, setup_tasmota
) | Test triggers can be updated and removed. | Test triggers can be updated and removed. | async def test_update_remove_triggers(
hass, device_reg, entity_reg, mqtt_mock, setup_tasmota
):
"""Test triggers can be updated and removed."""
# Discover a device with toggle + hold trigger
config1 = copy.deepcopy(DEFAULT_CONFIG)
config1["swc"][0] = 5
mac = config1["mac"]
# Discover a device with toggle + double press trigger
config2 = copy.deepcopy(DEFAULT_CONFIG)
config2["swc"][0] = 8
# Discover a device with no trigger
config3 = copy.deepcopy(DEFAULT_CONFIG)
config3["swc"][0] = -1
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config1))
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
expected_triggers1 = [
{
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_1_TOGGLE",
"type": "button_short_press",
"subtype": "switch_1",
},
{
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_1_HOLD",
"type": "button_long_press",
"subtype": "switch_1",
},
]
expected_triggers2 = copy.deepcopy(expected_triggers1)
expected_triggers2[1]["type"] = "button_double_press"
triggers = await async_get_device_automations(hass, "trigger", device_entry.id)
for expected in expected_triggers1:
assert expected in triggers
# Update trigger
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config2))
await hass.async_block_till_done()
triggers = await async_get_device_automations(hass, "trigger", device_entry.id)
for expected in expected_triggers2:
assert expected in triggers
# Remove trigger
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config3))
await hass.async_block_till_done()
triggers = await async_get_device_automations(hass, "trigger", device_entry.id)
assert triggers == [] | [
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test_if_fires_on_mqtt_message | (
hass, device_reg, calls, mqtt_mock, setup_tasmota
) | Test triggers firing. | Test triggers firing. | async def test_if_fires_on_mqtt_message(
hass, device_reg, calls, mqtt_mock, setup_tasmota
):
"""Test triggers firing."""
# Discover a device with 2 device triggers
config = copy.deepcopy(DEFAULT_CONFIG)
config["swc"][0] = 0
config["swc"][2] = 9
config["swn"][2] = "custom_switch"
mac = config["mac"]
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config))
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
assert await async_setup_component(
hass,
automation.DOMAIN,
{
automation.DOMAIN: [
{
"trigger": {
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_1_TOGGLE",
"type": "button_short_press",
"subtype": "switch_1",
},
"action": {
"service": "test.automation",
"data_template": {"some": ("short_press")},
},
},
{
"trigger": {
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_3_HOLD",
"subtype": "switch_3",
"type": "button_double_press",
},
"action": {
"service": "test.automation",
"data_template": {"some": ("long_press")},
},
},
]
},
)
# Fake short press.
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 1
assert calls[0].data["some"] == "short_press"
# Fake long press.
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"custom_switch":{"Action":"HOLD"}}'
)
await hass.async_block_till_done()
assert len(calls) == 2
assert calls[1].data["some"] == "long_press" | [
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test_if_fires_on_mqtt_message_late_discover | (
hass, device_reg, calls, mqtt_mock, setup_tasmota
) | Test triggers firing of MQTT device triggers discovered after setup. | Test triggers firing of MQTT device triggers discovered after setup. | async def test_if_fires_on_mqtt_message_late_discover(
hass, device_reg, calls, mqtt_mock, setup_tasmota
):
"""Test triggers firing of MQTT device triggers discovered after setup."""
# Discover a device without device triggers
config1 = copy.deepcopy(DEFAULT_CONFIG)
config1["swc"][0] = -1
mac = config1["mac"]
# Discover a device with 2 device triggers
config2 = copy.deepcopy(DEFAULT_CONFIG)
config2["swc"][0] = 0
config2["swc"][3] = 9
config2["swn"][3] = "custom_switch"
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config1))
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
assert await async_setup_component(
hass,
automation.DOMAIN,
{
automation.DOMAIN: [
{
"trigger": {
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_1_TOGGLE",
"type": "button_short_press",
"subtype": "switch_1",
},
"action": {
"service": "test.automation",
"data_template": {"some": ("short_press")},
},
},
{
"trigger": {
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_4_HOLD",
"type": "switch_4",
"subtype": "button_double_press",
},
"action": {
"service": "test.automation",
"data_template": {"some": ("double_press")},
},
},
]
},
)
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config2))
await hass.async_block_till_done()
# Fake short press.
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 1
assert calls[0].data["some"] == "short_press"
# Fake long press.
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"custom_switch":{"Action":"HOLD"}}'
)
await hass.async_block_till_done()
assert len(calls) == 2
assert calls[1].data["some"] == "double_press" | [
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383,
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test_if_fires_on_mqtt_message_after_update | (
hass, device_reg, calls, mqtt_mock, setup_tasmota
) | Test triggers firing after update. | Test triggers firing after update. | async def test_if_fires_on_mqtt_message_after_update(
hass, device_reg, calls, mqtt_mock, setup_tasmota
):
"""Test triggers firing after update."""
# Discover a device with device trigger
config1 = copy.deepcopy(DEFAULT_CONFIG)
config2 = copy.deepcopy(DEFAULT_CONFIG)
config1["swc"][0] = 0
config2["swc"][0] = 0
config2["tp"][1] = "status"
mac = config1["mac"]
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config1))
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
assert await async_setup_component(
hass,
automation.DOMAIN,
{
automation.DOMAIN: [
{
"trigger": {
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_1_TOGGLE",
"type": "button_short_press",
"subtype": "switch_1",
},
"action": {
"service": "test.automation",
"data_template": {"some": ("short_press")},
},
},
]
},
)
# Fake short press.
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 1
# Update the trigger with different topic
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config2))
await hass.async_block_till_done()
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 1
async_fire_mqtt_message(
hass, "tasmota_49A3BC/status/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 2
# Update the trigger with same topic
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config2))
await hass.async_block_till_done()
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 2
async_fire_mqtt_message(
hass, "tasmota_49A3BC/status/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 3 | [
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386,
0
] | [
463,
26
] | python | da | ['da', 'lb', 'en'] | False |
test_no_resubscribe_same_topic | (hass, device_reg, mqtt_mock, setup_tasmota) | Test subscription to topics without change. | Test subscription to topics without change. | async def test_no_resubscribe_same_topic(hass, device_reg, mqtt_mock, setup_tasmota):
"""Test subscription to topics without change."""
# Discover a device with device trigger
config = copy.deepcopy(DEFAULT_CONFIG)
config["swc"][0] = 0
mac = config["mac"]
mqtt_mock.async_subscribe.reset_mock()
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config))
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
assert await async_setup_component(
hass,
automation.DOMAIN,
{
automation.DOMAIN: [
{
"trigger": {
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_1_TOGGLE",
"type": "button_short_press",
"subtype": "switch_1",
},
"action": {
"service": "test.automation",
"data_template": {"some": ("short_press")},
},
},
]
},
)
call_count = mqtt_mock.async_subscribe.call_count
assert call_count == 1
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config))
await hass.async_block_till_done()
assert mqtt_mock.async_subscribe.call_count == call_count | [
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466,
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] | [
507,
61
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test_not_fires_on_mqtt_message_after_remove_by_mqtt | (
hass, device_reg, calls, mqtt_mock, setup_tasmota
) | Test triggers not firing after removal. | Test triggers not firing after removal. | async def test_not_fires_on_mqtt_message_after_remove_by_mqtt(
hass, device_reg, calls, mqtt_mock, setup_tasmota
):
"""Test triggers not firing after removal."""
# Discover a device with device trigger
config = copy.deepcopy(DEFAULT_CONFIG)
config["swc"][0] = 0
mac = config["mac"]
mqtt_mock.async_subscribe.reset_mock()
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config))
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
assert await async_setup_component(
hass,
automation.DOMAIN,
{
automation.DOMAIN: [
{
"trigger": {
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_1_TOGGLE",
"type": "button_short_press",
"subtype": "switch_1",
},
"action": {
"service": "test.automation",
"data_template": {"some": ("short_press")},
},
},
]
},
)
# Fake short press.
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 1
# Remove the trigger
config["swc"][0] = -1
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config))
await hass.async_block_till_done()
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 1
# Rediscover the trigger
config["swc"][0] = 0
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config))
await hass.async_block_till_done()
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 2 | [
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510,
0
] | [
576,
26
] | python | en | ['en', 'en', 'en'] | True |
test_not_fires_on_mqtt_message_after_remove_from_registry | (
hass, device_reg, calls, mqtt_mock, setup_tasmota
) | Test triggers not firing after removal. | Test triggers not firing after removal. | async def test_not_fires_on_mqtt_message_after_remove_from_registry(
hass, device_reg, calls, mqtt_mock, setup_tasmota
):
"""Test triggers not firing after removal."""
# Discover a device with device trigger
config = copy.deepcopy(DEFAULT_CONFIG)
config["swc"][0] = 0
mac = config["mac"]
mqtt_mock.async_subscribe.reset_mock()
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config))
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
assert await async_setup_component(
hass,
automation.DOMAIN,
{
automation.DOMAIN: [
{
"trigger": {
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_1_TOGGLE",
"type": "button_short_press",
"subtype": "switch_1",
},
"action": {
"service": "test.automation",
"data_template": {"some": ("short_press")},
},
},
]
},
)
# Fake short press.
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 1
# Remove the device
device_reg.async_remove_device(device_entry.id)
await hass.async_block_till_done()
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 1 | [
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] | [
579,
0
] | [
633,
26
] | python | en | ['en', 'en', 'en'] | True |
test_attach_remove | (hass, device_reg, mqtt_mock, setup_tasmota) | Test attach and removal of trigger. | Test attach and removal of trigger. | async def test_attach_remove(hass, device_reg, mqtt_mock, setup_tasmota):
"""Test attach and removal of trigger."""
# Discover a device with device trigger
config = copy.deepcopy(DEFAULT_CONFIG)
config["swc"][0] = 0
mac = config["mac"]
mqtt_mock.async_subscribe.reset_mock()
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config))
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
calls = []
def callback(trigger, context):
calls.append(trigger["trigger"]["description"])
remove = await async_attach_trigger(
hass,
{
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_1_TOGGLE",
"type": "button_short_press",
"subtype": "switch_1",
},
callback,
None,
)
# Fake short press.
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 1
assert calls[0] == "event 'tasmota_event'"
# Remove the trigger
remove()
await hass.async_block_till_done()
# Verify the triggers are no longer active
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 1 | [
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] | [
636,
0
] | [
686,
26
] | python | en | ['en', 'en', 'en'] | True |
test_attach_remove_late | (hass, device_reg, mqtt_mock, setup_tasmota) | Test attach and removal of trigger. | Test attach and removal of trigger. | async def test_attach_remove_late(hass, device_reg, mqtt_mock, setup_tasmota):
"""Test attach and removal of trigger."""
# Discover a device without device triggers
config1 = copy.deepcopy(DEFAULT_CONFIG)
config1["swc"][0] = -1
mac = config1["mac"]
# Discover a device with device triggers
config2 = copy.deepcopy(DEFAULT_CONFIG)
config2["swc"][0] = 0
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config1))
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
calls = []
def callback(trigger, context):
calls.append(trigger["trigger"]["description"])
remove = await async_attach_trigger(
hass,
{
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_1_TOGGLE",
"type": "button_short_press",
"subtype": "switch_1",
},
callback,
None,
)
# Fake short press.
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 0
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config2))
await hass.async_block_till_done()
# Fake short press.
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 1
assert calls[0] == "event 'tasmota_event'"
# Remove the trigger
remove()
await hass.async_block_till_done()
# Verify the triggers are no longer active
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 1 | [
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] | [
689,
0
] | [
751,
26
] | python | en | ['en', 'en', 'en'] | True |
test_attach_remove_late2 | (hass, device_reg, mqtt_mock, setup_tasmota) | Test attach and removal of trigger. | Test attach and removal of trigger. | async def test_attach_remove_late2(hass, device_reg, mqtt_mock, setup_tasmota):
"""Test attach and removal of trigger."""
# Discover a device without device triggers
config1 = copy.deepcopy(DEFAULT_CONFIG)
config1["swc"][0] = -1
mac = config1["mac"]
# Discover a device with device triggers
config2 = copy.deepcopy(DEFAULT_CONFIG)
config2["swc"][0] = 0
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config1))
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
calls = []
def callback(trigger, context):
calls.append(trigger["trigger"]["description"])
remove = await async_attach_trigger(
hass,
{
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_1_TOGGLE",
"type": "button_short_press",
"subtype": "switch_1",
},
callback,
None,
)
# Remove the trigger
remove()
await hass.async_block_till_done()
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config1))
await hass.async_block_till_done()
# Verify the triggers is not active
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 0 | [
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] | [
754,
0
] | [
801,
26
] | python | en | ['en', 'en', 'en'] | True |
test_attach_remove_unknown1 | (hass, device_reg, mqtt_mock, setup_tasmota) | Test attach and removal of unknown trigger. | Test attach and removal of unknown trigger. | async def test_attach_remove_unknown1(hass, device_reg, mqtt_mock, setup_tasmota):
"""Test attach and removal of unknown trigger."""
# Discover a device without device triggers
config1 = copy.deepcopy(DEFAULT_CONFIG)
config1["swc"][0] = -1
mac = config1["mac"]
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config1))
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
remove = await async_attach_trigger(
hass,
{
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_1_TOGGLE",
"type": "button_short_press",
"subtype": "switch_1",
},
None,
None,
)
# Remove the trigger
remove()
await hass.async_block_till_done() | [
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] | [
832,
38
] | python | en | ['en', 'en', 'en'] | True |
test_attach_unknown_remove_device_from_registry | (
hass, device_reg, mqtt_mock, setup_tasmota
) | Test attach and removal of device with unknown trigger. | Test attach and removal of device with unknown trigger. | async def test_attach_unknown_remove_device_from_registry(
hass, device_reg, mqtt_mock, setup_tasmota
):
"""Test attach and removal of device with unknown trigger."""
# Discover a device without device triggers
config1 = copy.deepcopy(DEFAULT_CONFIG)
config1["swc"][0] = -1
mac = config1["mac"]
# Discover a device with device triggers
config2 = copy.deepcopy(DEFAULT_CONFIG)
config2["swc"][0] = 0
# Discovery a device with device triggers to load Tasmota device trigger integration
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config2))
await hass.async_block_till_done()
# Forget the trigger
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config1))
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
await async_attach_trigger(
hass,
{
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_1_TOGGLE",
"type": "button_short_press",
"subtype": "switch_1",
},
None,
None,
)
# Remove the device
device_reg.async_remove_device(device_entry.id)
await hass.async_block_till_done() | [
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] | [
874,
38
] | python | en | ['en', 'en', 'en'] | True |
test_attach_remove_config_entry | (hass, device_reg, mqtt_mock, setup_tasmota) | Test trigger cleanup when removing a Tasmota config entry. | Test trigger cleanup when removing a Tasmota config entry. | async def test_attach_remove_config_entry(hass, device_reg, mqtt_mock, setup_tasmota):
"""Test trigger cleanup when removing a Tasmota config entry."""
# Discover a device with device trigger
config = copy.deepcopy(DEFAULT_CONFIG)
config["swc"][0] = 0
mac = config["mac"]
mqtt_mock.async_subscribe.reset_mock()
async_fire_mqtt_message(hass, f"{DEFAULT_PREFIX}/{mac}/config", json.dumps(config))
await hass.async_block_till_done()
device_entry = device_reg.async_get_device(set(), {("mac", mac)})
calls = []
def callback(trigger, context):
calls.append(trigger["trigger"]["description"])
await async_attach_trigger(
hass,
{
"platform": "device",
"domain": DOMAIN,
"device_id": device_entry.id,
"discovery_id": "00000049A3BC_switch_1_TOGGLE",
"type": "button_short_press",
"subtype": "switch_1",
},
callback,
None,
)
# Fake short press.
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 1
assert calls[0] == "event 'tasmota_event'"
# Remove the Tasmota config entry
config_entries = hass.config_entries.async_entries("tasmota")
await hass.config_entries.async_remove(config_entries[0].entry_id)
await hass.async_block_till_done()
# Verify the triggers are no longer active
async_fire_mqtt_message(
hass, "tasmota_49A3BC/stat/RESULT", '{"Switch1":{"Action":"TOGGLE"}}'
)
await hass.async_block_till_done()
assert len(calls) == 1 | [
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] | [
877,
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] | [
928,
26
] | python | en | ['en', 'en', 'en'] | True |
test_simple_function | (hass) | Test simple function (executor). | Test simple function (executor). | async def test_simple_function(hass):
"""Test simple function (executor)."""
calls = []
def test_funct(data):
"""Test function."""
calls.append(data)
async_dispatcher_connect(hass, "test", test_funct)
async_dispatcher_send(hass, "test", 3)
await hass.async_block_till_done()
assert calls == [3]
async_dispatcher_send(hass, "test", "bla")
await hass.async_block_till_done()
assert calls == [3, "bla"] | [
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29,
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] | python | en | ['es', 'en', 'en'] | True |
test_simple_function_unsub | (hass) | Test simple function (executor) and unsub. | Test simple function (executor) and unsub. | async def test_simple_function_unsub(hass):
"""Test simple function (executor) and unsub."""
calls1 = []
calls2 = []
def test_funct1(data):
"""Test function."""
calls1.append(data)
def test_funct2(data):
"""Test function."""
calls2.append(data)
async_dispatcher_connect(hass, "test1", test_funct1)
unsub = async_dispatcher_connect(hass, "test2", test_funct2)
async_dispatcher_send(hass, "test1", 3)
async_dispatcher_send(hass, "test2", 4)
await hass.async_block_till_done()
assert calls1 == [3]
assert calls2 == [4]
unsub()
async_dispatcher_send(hass, "test1", 5)
async_dispatcher_send(hass, "test2", 6)
await hass.async_block_till_done()
assert calls1 == [3, 5]
assert calls2 == [4]
# check don't kill the flow
unsub()
async_dispatcher_send(hass, "test1", 7)
async_dispatcher_send(hass, "test2", 8)
await hass.async_block_till_done()
assert calls1 == [3, 5, 7]
assert calls2 == [4] | [
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] | [
71,
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] | python | en | ['en', 'en', 'en'] | True |
test_simple_callback | (hass) | Test simple callback (async). | Test simple callback (async). | async def test_simple_callback(hass):
"""Test simple callback (async)."""
calls = []
@callback
def test_funct(data):
"""Test function."""
calls.append(data)
async_dispatcher_connect(hass, "test", test_funct)
async_dispatcher_send(hass, "test", 3)
await hass.async_block_till_done()
assert calls == [3]
async_dispatcher_send(hass, "test", "bla")
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assert calls == [3, "bla"] | [
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"[",
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"]"
] | [
74,
0
] | [
92,
30
] | python | en | ['en', 'et', 'en'] | True |
test_simple_coro | (hass) | Test simple coro (async). | Test simple coro (async). | async def test_simple_coro(hass):
"""Test simple coro (async)."""
calls = []
async def async_test_funct(data):
"""Test function."""
calls.append(data)
async_dispatcher_connect(hass, "test", async_test_funct)
async_dispatcher_send(hass, "test", 3)
await hass.async_block_till_done()
assert calls == [3]
async_dispatcher_send(hass, "test", "bla")
await hass.async_block_till_done()
assert calls == [3, "bla"] | [
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] | [
95,
0
] | [
112,
30
] | python | en | ['es', 'zh', 'en'] | False |
test_simple_function_multiargs | (hass) | Test simple function (executor). | Test simple function (executor). | async def test_simple_function_multiargs(hass):
"""Test simple function (executor)."""
calls = []
def test_funct(data1, data2, data3):
"""Test function."""
calls.append(data1)
calls.append(data2)
calls.append(data3)
async_dispatcher_connect(hass, "test", test_funct)
async_dispatcher_send(hass, "test", 3, 2, "bla")
await hass.async_block_till_done()
assert calls == [3, 2, "bla"] | [
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115,
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] | [
129,
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] | python | en | ['es', 'en', 'en'] | True |
test_callback_exception_gets_logged | (hass, caplog) | Test exception raised by signal handler. | Test exception raised by signal handler. | async def test_callback_exception_gets_logged(hass, caplog):
"""Test exception raised by signal handler."""
@callback
def bad_handler(*args):
"""Record calls."""
raise Exception("This is a bad message callback")
# wrap in partial to test message logging.
async_dispatcher_connect(hass, "test", partial(bad_handler))
async_dispatcher_send(hass, "test", "bad")
await hass.async_block_till_done()
await hass.async_block_till_done()
assert (
f"Exception in functools.partial({bad_handler}) when dispatching 'test': ('bad',)"
in caplog.text
) | [
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133,
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] | [
150,
5
] | python | en | ['en', 'en', 'en'] | True |
fake_log | (log_key) | Return a fake fail2ban log. | Return a fake fail2ban log. | def fake_log(log_key):
"""Return a fake fail2ban log."""
fake_log_dict = {
"single_ban": (
"2017-01-01 12:23:35 fail2ban.actions [111]: "
"NOTICE [jail_one] Ban 111.111.111.111"
),
"ipv6_ban": (
"2017-01-01 12:23:35 fail2ban.actions [111]: "
"NOTICE [jail_one] Ban 2607:f0d0:1002:51::4"
),
"multi_ban": (
"2017-01-01 12:23:35 fail2ban.actions [111]: "
"NOTICE [jail_one] Ban 111.111.111.111\n"
"2017-01-01 12:23:35 fail2ban.actions [111]: "
"NOTICE [jail_one] Ban 222.222.222.222"
),
"multi_jail": (
"2017-01-01 12:23:35 fail2ban.actions [111]: "
"NOTICE [jail_one] Ban 111.111.111.111\n"
"2017-01-01 12:23:35 fail2ban.actions [111]: "
"NOTICE [jail_two] Ban 222.222.222.222"
),
"unban_all": (
"2017-01-01 12:23:35 fail2ban.actions [111]: "
"NOTICE [jail_one] Ban 111.111.111.111\n"
"2017-01-01 12:23:35 fail2ban.actions [111]: "
"NOTICE [jail_one] Unban 111.111.111.111\n"
"2017-01-01 12:23:35 fail2ban.actions [111]: "
"NOTICE [jail_one] Ban 222.222.222.222\n"
"2017-01-01 12:23:35 fail2ban.actions [111]: "
"NOTICE [jail_one] Unban 222.222.222.222"
),
"unban_one": (
"2017-01-01 12:23:35 fail2ban.actions [111]: "
"NOTICE [jail_one] Ban 111.111.111.111\n"
"2017-01-01 12:23:35 fail2ban.actions [111]: "
"NOTICE [jail_one] Ban 222.222.222.222\n"
"2017-01-01 12:23:35 fail2ban.actions [111]: "
"NOTICE [jail_one] Unban 111.111.111.111"
),
}
return fake_log_dict[log_key] | [
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"\"NOTICE [jail_one] Ban 222.222.222.222\\n\"",
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13,
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] | [
55,
33
] | python | en | ['en', 'gd', 'en'] | True |
test_setup | (hass) | Test that sensor can be setup. | Test that sensor can be setup. | async def test_setup(hass):
"""Test that sensor can be setup."""
config = {"sensor": {"platform": "fail2ban", "jails": ["jail_one"]}}
mock_fh = mock_open()
with patch("homeassistant.components.fail2ban.sensor.open", mock_fh, create=True):
assert await async_setup_component(hass, "sensor", config)
await hass.async_block_till_done()
assert_setup_component(1, "sensor") | [
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] | [
59,
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] | [
66,
39
] | python | en | ['en', 'bg', 'en'] | True |
test_multi_jails | (hass) | Test that multiple jails can be set up as sensors.. | Test that multiple jails can be set up as sensors.. | async def test_multi_jails(hass):
"""Test that multiple jails can be set up as sensors.."""
config = {"sensor": {"platform": "fail2ban", "jails": ["jail_one", "jail_two"]}}
mock_fh = mock_open()
with patch("homeassistant.components.fail2ban.sensor.open", mock_fh, create=True):
assert await async_setup_component(hass, "sensor", config)
await hass.async_block_till_done()
assert_setup_component(2, "sensor") | [
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70,
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] | [
77,
39
] | python | en | ['en', 'en', 'en'] | True |
test_single_ban | (hass) | Test that log is parsed correctly for single ban. | Test that log is parsed correctly for single ban. | async def test_single_ban(hass):
"""Test that log is parsed correctly for single ban."""
log_parser = BanLogParser("/test/fail2ban.log")
sensor = BanSensor("fail2ban", "jail_one", log_parser)
assert sensor.name == "fail2ban jail_one"
mock_fh = mock_open(read_data=fake_log("single_ban"))
with patch("homeassistant.components.fail2ban.sensor.open", mock_fh, create=True):
sensor.update()
assert sensor.state == "111.111.111.111"
assert sensor.state_attributes[STATE_CURRENT_BANS] == ["111.111.111.111"]
assert sensor.state_attributes[STATE_ALL_BANS] == ["111.111.111.111"] | [
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] | [
80,
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] | [
91,
73
] | python | en | ['en', 'en', 'en'] | True |
test_ipv6_ban | (hass) | Test that log is parsed correctly for IPV6 bans. | Test that log is parsed correctly for IPV6 bans. | async def test_ipv6_ban(hass):
"""Test that log is parsed correctly for IPV6 bans."""
log_parser = BanLogParser("/test/fail2ban.log")
sensor = BanSensor("fail2ban", "jail_one", log_parser)
assert sensor.name == "fail2ban jail_one"
mock_fh = mock_open(read_data=fake_log("ipv6_ban"))
with patch("homeassistant.components.fail2ban.sensor.open", mock_fh, create=True):
sensor.update()
assert sensor.state == "2607:f0d0:1002:51::4"
assert sensor.state_attributes[STATE_CURRENT_BANS] == ["2607:f0d0:1002:51::4"]
assert sensor.state_attributes[STATE_ALL_BANS] == ["2607:f0d0:1002:51::4"] | [
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] | [
105,
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] | python | en | ['en', 'en', 'en'] | True |
test_multiple_ban | (hass) | Test that log is parsed correctly for multiple ban. | Test that log is parsed correctly for multiple ban. | async def test_multiple_ban(hass):
"""Test that log is parsed correctly for multiple ban."""
log_parser = BanLogParser("/test/fail2ban.log")
sensor = BanSensor("fail2ban", "jail_one", log_parser)
assert sensor.name == "fail2ban jail_one"
mock_fh = mock_open(read_data=fake_log("multi_ban"))
with patch("homeassistant.components.fail2ban.sensor.open", mock_fh, create=True):
sensor.update()
assert sensor.state == "222.222.222.222"
assert sensor.state_attributes[STATE_CURRENT_BANS] == [
"111.111.111.111",
"222.222.222.222",
]
assert sensor.state_attributes[STATE_ALL_BANS] == [
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"222.222.222.222",
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125,
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] | python | en | ['en', 'en', 'en'] | True |
test_unban_all | (hass) | Test that log is parsed correctly when unbanning. | Test that log is parsed correctly when unbanning. | async def test_unban_all(hass):
"""Test that log is parsed correctly when unbanning."""
log_parser = BanLogParser("/test/fail2ban.log")
sensor = BanSensor("fail2ban", "jail_one", log_parser)
assert sensor.name == "fail2ban jail_one"
mock_fh = mock_open(read_data=fake_log("unban_all"))
with patch("homeassistant.components.fail2ban.sensor.open", mock_fh, create=True):
sensor.update()
assert sensor.state == "None"
assert sensor.state_attributes[STATE_CURRENT_BANS] == []
assert sensor.state_attributes[STATE_ALL_BANS] == [
"111.111.111.111",
"222.222.222.222",
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] | [
128,
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] | [
142,
5
] | python | en | ['en', 'en', 'en'] | True |
test_unban_one | (hass) | Test that log is parsed correctly when unbanning one ip. | Test that log is parsed correctly when unbanning one ip. | async def test_unban_one(hass):
"""Test that log is parsed correctly when unbanning one ip."""
log_parser = BanLogParser("/test/fail2ban.log")
sensor = BanSensor("fail2ban", "jail_one", log_parser)
assert sensor.name == "fail2ban jail_one"
mock_fh = mock_open(read_data=fake_log("unban_one"))
with patch("homeassistant.components.fail2ban.sensor.open", mock_fh, create=True):
sensor.update()
assert sensor.state == "222.222.222.222"
assert sensor.state_attributes[STATE_CURRENT_BANS] == ["222.222.222.222"]
assert sensor.state_attributes[STATE_ALL_BANS] == [
"111.111.111.111",
"222.222.222.222",
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145,
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159,
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] | python | en | ['en', 'en', 'en'] | True |
test_multi_jail | (hass) | Test that log is parsed correctly when using multiple jails. | Test that log is parsed correctly when using multiple jails. | async def test_multi_jail(hass):
"""Test that log is parsed correctly when using multiple jails."""
log_parser = BanLogParser("/test/fail2ban.log")
sensor1 = BanSensor("fail2ban", "jail_one", log_parser)
sensor2 = BanSensor("fail2ban", "jail_two", log_parser)
assert sensor1.name == "fail2ban jail_one"
assert sensor2.name == "fail2ban jail_two"
mock_fh = mock_open(read_data=fake_log("multi_jail"))
with patch("homeassistant.components.fail2ban.sensor.open", mock_fh, create=True):
sensor1.update()
sensor2.update()
assert sensor1.state == "111.111.111.111"
assert sensor1.state_attributes[STATE_CURRENT_BANS] == ["111.111.111.111"]
assert sensor1.state_attributes[STATE_ALL_BANS] == ["111.111.111.111"]
assert sensor2.state == "222.222.222.222"
assert sensor2.state_attributes[STATE_CURRENT_BANS] == ["222.222.222.222"]
assert sensor2.state_attributes[STATE_ALL_BANS] == ["222.222.222.222"] | [
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162,
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179,
74
] | python | en | ['en', 'en', 'en'] | True |
test_ban_active_after_update | (hass) | Test that ban persists after subsequent update. | Test that ban persists after subsequent update. | async def test_ban_active_after_update(hass):
"""Test that ban persists after subsequent update."""
log_parser = BanLogParser("/test/fail2ban.log")
sensor = BanSensor("fail2ban", "jail_one", log_parser)
assert sensor.name == "fail2ban jail_one"
mock_fh = mock_open(read_data=fake_log("single_ban"))
with patch("homeassistant.components.fail2ban.sensor.open", mock_fh, create=True):
sensor.update()
assert sensor.state == "111.111.111.111"
sensor.update()
assert sensor.state == "111.111.111.111"
assert sensor.state_attributes[STATE_CURRENT_BANS] == ["111.111.111.111"]
assert sensor.state_attributes[STATE_ALL_BANS] == ["111.111.111.111"] | [
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182,
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] | [
194,
73
] | python | en | ['en', 'en', 'en'] | True |
render_h1_title | (content: str) | Flexible display of content according to predefined styles.
Args:
Content (str): Content to be showed on dashboard.
| Flexible display of content according to predefined styles. | def render_h1_title(content: str):
"""Flexible display of content according to predefined styles.
Args:
Content (str): Content to be showed on dashboard.
"""
html_title = f"{title_html} <div class='title'><h1>{content}</h1></div>"
st.markdown(html_title, unsafe_allow_html=True) | [
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] | python | en | ['en', 'en', 'en'] | True |
render_h3_title | (content: str) | Flexible display of content according to predefined styles.
Args:
Content (str): Content to be showed on dashboard.
| Flexible display of content according to predefined styles. | def render_h3_title(content: str):
"""Flexible display of content according to predefined styles.
Args:
Content (str): Content to be showed on dashboard.
"""
html_title = f"{title_html} <div class='title'><h3>{content}</h3></div>"
st.markdown(html_title, unsafe_allow_html=True) | [
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get_sample_ratio_selection_list | (data_num: int) | Get sample ratio list with current data_num.
Note: Number 0,1 must be included in the return value.
Because it is essential for user to select sample ratio at 0/1.
Args:
data_num (int): Number of data to be sampled.
Returns:
List(float): The sample ratio list for user to select, which is a list range from 0 to 1.
| Get sample ratio list with current data_num. | def get_sample_ratio_selection_list(data_num: int) -> list:
"""Get sample ratio list with current data_num.
Note: Number 0,1 must be included in the return value.
Because it is essential for user to select sample ratio at 0/1.
Args:
data_num (int): Number of data to be sampled.
Returns:
List(float): The sample ratio list for user to select, which is a list range from 0 to 1.
"""
return [round(i / data_num, 2) for i in range(0, data_num + 1)] | [
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get_sample_index_list | (data_num: int, sample_ratio: float) | Get the index list of sampled data.
Args:
data_num (int): Number of data to be sampled.
sample_ratio (float): The sample ratio selected by user.
Returns:
List[float]: The list of sampled data index list, which is a list range from 0 to data_num.
| Get the index list of sampled data. | def get_sample_index_list(data_num: int, sample_ratio: float) -> List[float]:
"""Get the index list of sampled data.
Args:
data_num (int): Number of data to be sampled.
sample_ratio (float): The sample ratio selected by user.
Returns:
List[float]: The list of sampled data index list, which is a list range from 0 to data_num.
"""
if sample_ratio == 0:
return []
else:
return list(range(0, data_num, math.floor(1 / sample_ratio))) | [
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] | python | en | ['en', 'en', 'en'] | True |
get_filtered_formula_and_data | (
scenario: GlobalScenarios, data: pd.DataFrame, attribute_option_candidates: List[str]
) | Get calculated formula and whole data.
Args:
scenario (GlobalScenarios): Type of input scenario detail.
data (pd.Dataframe): Original data.
attribute_option_candidates (List[str]): All options for users to choose.
Returns:
dict: The data and attributes after formula calculation.
| Get calculated formula and whole data. | def get_filtered_formula_and_data(
scenario: GlobalScenarios, data: pd.DataFrame, attribute_option_candidates: List[str]
) -> dict:
""" Get calculated formula and whole data.
Args:
scenario (GlobalScenarios): Type of input scenario detail.
data (pd.Dataframe): Original data.
attribute_option_candidates (List[str]): All options for users to choose.
Returns:
dict: The data and attributes after formula calculation.
"""
data_generate = _formula_define(data)
if data_generate is not None:
data = data_generate["data"]
attribute_option_candidates.append(data_generate["name"])
attribute_option = st.multiselect(
label=" ",
options=attribute_option_candidates,
default=attribute_option_candidates
)
attribute_option = _get_attribute_option(scenario, attribute_option, attribute_option_candidates)
return {"data": data, "attribute_option": attribute_option} | [
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read_detail_csv | (path: str) | Read detail csv with cache.
Args:
path (str): Path of file to be read.
Returns:
pd.Dataframe: Data in CSV file. Cached in local memory.
| Read detail csv with cache. | def read_detail_csv(path: str) -> pd.DataFrame:
"""Read detail csv with cache.
Args:
path (str): Path of file to be read.
Returns:
pd.Dataframe: Data in CSV file. Cached in local memory.
"""
return pd.read_csv(path) | [
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generate_by_snapshot_top_summary | (
attr_name: str, data: pd.DataFrame, top_number: int,
attribute: str, snapshot_index: int = -1
) | Generate top-k resource holders and their according summary data.
Args:
attr_name (str): Name of attributes needed to be summarized.
data (pd.Dataframe): Data of selected column and snapshot_index.
top_number (int): Number of top summaries.
attribute (str): Attributes needed to be displayed on plot.
snapshot_index (int): Index of snapshot.
| Generate top-k resource holders and their according summary data. | def generate_by_snapshot_top_summary(
attr_name: str, data: pd.DataFrame, top_number: int,
attribute: str, snapshot_index: int = -1
):
""" Generate top-k resource holders and their according summary data.
Args:
attr_name (str): Name of attributes needed to be summarized.
data (pd.Dataframe): Data of selected column and snapshot_index.
top_number (int): Number of top summaries.
attribute (str): Attributes needed to be displayed on plot.
snapshot_index (int): Index of snapshot.
"""
if snapshot_index != -1:
render_h3_title(f"Snapshot-{snapshot_index}: Top {top_number} {attribute}")
else:
render_h3_title(f"Top {top_number} {attribute}")
data = data[[attr_name, attribute]].sort_values(by=attribute, ascending=False).head(top_number)
data["counter"] = range(len(data))
data[attr_name] = list(
map(
lambda x, y: f"{x+1}-{y}",
data["counter"],
data[attr_name]
)
)
bars = alt.Chart(data).mark_bar().encode(
x=f"{attribute}:Q",
y=f"{attr_name}:O",
).properties(
width=700,
height=240
)
text = bars.mark_text(
align="left",
baseline="middle",
dx=3
).encode(
text=f"{attribute}:Q"
)
st.altair_chart(bars + text) | [
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_get_attribute_option | (
scenario: GlobalScenarios, attribute_option: List[str], attribute_option_candidates: List[str]
) | Convert selected attribute options into column.
Args:
scenario (GlobalScenarios): Name of scenario
attribute_option (List[str]): User-selected attributes list.
attribute_option_candidates (List[str]): Pre-defined attributes list.
Returns:
List[str]: Translated attribute list,
which contains no user-selected attributes, but only pre-defined attributes.
| Convert selected attribute options into column. | def _get_attribute_option(
scenario: GlobalScenarios, attribute_option: List[str], attribute_option_candidates: List[str]
) -> List[str]:
"""Convert selected attribute options into column.
Args:
scenario (GlobalScenarios): Name of scenario
attribute_option (List[str]): User-selected attributes list.
attribute_option_candidates (List[str]): Pre-defined attributes list.
Returns:
List[str]: Translated attribute list,
which contains no user-selected attributes, but only pre-defined attributes.
"""
attribute_option_res = []
if scenario == GlobalScenarios.CITI_BIKE:
for item in attribute_option:
if item == "All":
attribute_option_candidates.remove("All")
attribute_option_candidates.remove("Requirement Info")
attribute_option_candidates.remove("Station Info")
attribute_option_res = attribute_option_candidates
break
elif item == "Requirement Info":
attribute_option_res = attribute_option_res + CITIBIKEItemOption.requirement_info
elif item == "Station Info":
attribute_option_res = attribute_option_res + CITIBIKEItemOption.station_info
else:
attribute_option_res.append(item)
return attribute_option_res
if scenario == GlobalScenarios.CIM:
for item in attribute_option:
if item == "All":
attribute_option_candidates.remove("All")
attribute_option_candidates.remove("Booking Info")
attribute_option_candidates.remove("Port Info")
attribute_option_res = attribute_option_candidates
break
elif item == "Booking Info":
attribute_option_res = attribute_option_res + CIMItemOption.booking_info
elif item == "Port Info":
attribute_option_res = attribute_option_res + CIMItemOption.port_info
else:
attribute_option_res.append(item)
return attribute_option_res | [
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181,
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] | [
227,
35
] | python | en | ['en', 'en', 'en'] | True |
_formula_define | (data_original: pd.DataFrame) | Define formula and get output.
Args:
data_original (pd.Dataframe): Original data to be calculated with selected formula.
Returns:
dict: Name and output of selected formula and original data.
| Define formula and get output. | def _formula_define(data_original: pd.DataFrame) -> dict:
"""Define formula and get output.
Args:
data_original (pd.Dataframe): Original data to be calculated with selected formula.
Returns:
dict: Name and output of selected formula and original data.
"""
st.sidebar.markdown("***")
formula_select = st.sidebar.selectbox(
label="formula:",
options=["a+b", "a-b", "a/b", "a*b", "sqrt(a)"]
)
paras = st.sidebar.text_input("parameters separated by ;")
res = paras.split(";")
if formula_select == "a+b":
if not _judge_data_length(res, 2):
return
else:
data_right = _judge_append_data(data_original.head(0), res)
if data_right:
data_original[f"{res[0]}+{res[1]}"] = list(
map(
lambda x, y: x + y,
data_original[res[0]],
data_original[res[1]]
)
)
else:
return
data = {"data": data_original, "name": f"{res[0]}+{res[1]}"}
return data
if formula_select == "a-b":
if not _judge_data_length(res, 2):
return
else:
data_right = _judge_append_data(data_original.head(0), res)
if data_right:
data_original[f"{res[0]}-{res[1]}"] = list(
map(
lambda x, y: x - y,
data_original[res[0]],
data_original[res[1]]
)
)
else:
return
data = {"data": data_original, "name": f"{res[0]}-{res[1]}"}
return data
if formula_select == "a*b":
if not _judge_data_length(res, 2):
return
else:
data_right = _judge_append_data(data_original.head(0), res)
if data_right:
data_original[f"{res[0]}*{res[1]}"] = list(
map(
lambda x, y: x * y,
data_original[res[0]],
data_original[res[1]]
)
)
else:
return
data = {"data": data_original, "name": f"{res[0]}*{res[1]}"}
return data
if formula_select == "a/b":
if not _judge_data_length(res, 2):
return
else:
data_right = _judge_append_data(data_original.head(0), res)
if data_right:
data_original[f"{res[0]}/{res[1]}"] = list(
map(
lambda x, y: x + y,
data_original[res[0]],
data_original[res[1]]
)
)
else:
return
data = {"data": data_original, "name": f"{res[0]}/{res[1]}"}
return data
if formula_select == "sqrt(a)":
if not _judge_data_length(res, 1):
return
else:
data_right = _judge_append_data(data_original.head(0), res)
if data_right:
data_original[f"sqrt({res[0]})"] = list(
map(
lambda x: math.sqrt(x),
data_original[res[0]]
)
)
else:
return
data = {"data": data_original, "name": f"sqrt({res[0]})"}
return data | [
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230,
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] | [
335,
19
] | python | en | ['en', 'pt', 'en'] | True |
_judge_data_length | (res: list, formula_length: int) | Judge whether the length of input data meet the requirements.
Args:
res (list): User-input data.
formula_length (int): Supposed length of input data with selected formula.
Returns:
bool: Whether the length of data meet the requirements of formula.
| Judge whether the length of input data meet the requirements. | def _judge_data_length(res: list, formula_length: int) -> bool:
"""Judge whether the length of input data meet the requirements.
Args:
res (list): User-input data.
formula_length (int): Supposed length of input data with selected formula.
Returns:
bool: Whether the length of data meet the requirements of formula.
"""
if len(res) == 0 or res[0] == "":
return False
elif len(res) != formula_length:
st.warning("input parameter number wrong")
return False
return True | [
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354,
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_judge_append_data | (data_head: List[str], res: List[str]) | Judge whether input is feasible to selected formula.
Args:
data_head (List[str]): Column list of origin data.
res (List[str]): Column names texted by user.
Returns:
bool: Whether the column list texted by user is reasonable or not.
| Judge whether input is feasible to selected formula. | def _judge_append_data(data_head: List[str], res: List[str]) -> bool:
"""Judge whether input is feasible to selected formula.
Args:
data_head (List[str]): Column list of origin data.
res (List[str]): Column names texted by user.
Returns:
bool: Whether the column list texted by user is reasonable or not.
"""
data_right = True
for item in res:
if item not in data_head:
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st.warning(f"parameter name:{item} not exist")
return data_right | [
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374,
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] | python | en | ['en', 'en', 'en'] | True |
_get_sampled_epoch_range | (epoch_num: int, sample_ratio: float) | For inter plot, generate sampled data list based on range & sample ratio.
Args:
epoch_num (int): Total number of epoches,
i.e. the total number of data folders since there is a folder per epoch.
sample_ratio (float): Sampling ratio.
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down_pooling_list = [0, 0.3, 0.6, 0.9]
down_pooling_range = [0, 3, 6, 9]
Returns:
List[float]: List of sampled epoch index.
| For inter plot, generate sampled data list based on range & sample ratio. | def _get_sampled_epoch_range(epoch_num: int, sample_ratio: float) -> List[float]:
"""For inter plot, generate sampled data list based on range & sample ratio.
Args:
epoch_num (int): Total number of epoches,
i.e. the total number of data folders since there is a folder per epoch.
sample_ratio (float): Sampling ratio.
e.g. If sample_ratio = 0.3, and sample data range = [0, 10],
down_pooling_list = [0, 0.3, 0.6, 0.9]
down_pooling_range = [0, 3, 6, 9]
Returns:
List[float]: List of sampled epoch index.
"""
start_epoch = st.sidebar.number_input(
label="Start Epoch",
min_value=0,
max_value=epoch_num - 1,
value=0
)
end_epoch = st.sidebar.number_input(
label="End Epoch",
min_value=0,
max_value=epoch_num - 1,
value=epoch_num - 1
)
down_pooling_num = st.sidebar.select_slider(
label="Epoch Sampling Ratio",
options=sample_ratio,
value=1
)
if down_pooling_num == 0:
return []
else:
return list(range(start_epoch, end_epoch + 1, math.floor(1 / down_pooling_num))) | [
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412,
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] | python | en | ['en', 'no', 'en'] | True |
get_args | () | get args from command line
| get args from command line
| def get_args():
""" get args from command line
"""
parser = argparse.ArgumentParser("cifar10")
parser.add_argument("--batch_size", type=int, default=128, help="batch size")
parser.add_argument("--optimizer", type=str, default="SGD", help="optimizer")
parser.add_argument("--epochs", type=int, default=200, help="epoch limit")
parser.add_argument(
"--learning_rate", type=float, default=0.001, help="learning rate"
)
parser.add_argument("--cutout", action="store_true", default=False, help="use cutout")
parser.add_argument("--cutout_length", type=int, default=8, help="cutout length")
parser.add_argument(
"--model_path", type=str, default="./", help="Path to save the destination model"
)
return parser.parse_args() | [
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] | python | en | ['en', 'en', 'en'] | True |
build_graph_from_json | (ir_model_json) | build model from json representation
| build model from json representation
| def build_graph_from_json(ir_model_json):
"""build model from json representation
"""
graph = json_to_graph(ir_model_json)
logging.debug(graph.operation_history)
model = graph.produce_torch_model()
return model | [
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] | [
79,
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] | python | en | ['en', 'en', 'en'] | True |
parse_rev_args | (receive_msg) | parse reveive msgs to global variable
| parse reveive msgs to global variable
| def parse_rev_args(receive_msg):
""" parse reveive msgs to global variable
"""
global trainloader
global testloader
global net
global criterion
global optimizer
# Loading Data
logger.debug("Preparing data..")
transform_train, transform_test = utils.data_transforms_cifar10(args)
trainset = torchvision.datasets.CIFAR10(
root="./data", train=True, download=True, transform=transform_train
)
trainloader = torch.utils.data.DataLoader(
trainset, batch_size=args.batch_size, shuffle=True, num_workers=2
)
testset = torchvision.datasets.CIFAR10(
root="./data", train=False, download=True, transform=transform_test
)
testloader = torch.utils.data.DataLoader(
testset, batch_size=args.batch_size, shuffle=False, num_workers=2
)
# Model
logger.debug("Building model..")
net = build_graph_from_json(receive_msg)
net = net.to(device)
criterion = nn.CrossEntropyLoss()
if device == "cuda" and torch.cuda.device_count() > 1:
net = torch.nn.DataParallel(net)
if args.optimizer == "SGD":
optimizer = optim.SGD(
net.parameters(), lr=args.learning_rate, momentum=0.9, weight_decay=5e-4
)
if args.optimizer == "Adadelta":
optimizer = optim.Adadelta(net.parameters(), lr=args.learning_rate)
if args.optimizer == "Adagrad":
optimizer = optim.Adagrad(net.parameters(), lr=args.learning_rate)
if args.optimizer == "Adam":
optimizer = optim.Adam(net.parameters(), lr=args.learning_rate)
if args.optimizer == "Adamax":
optimizer = optim.Adamax(net.parameters(), lr=args.learning_rate)
if args.optimizer == "RMSprop":
optimizer = optim.RMSprop(net.parameters(), lr=args.learning_rate)
return 0 | [
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135,
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] | python | en | ['en', 'en', 'en'] | True |
train | (epoch) | train model on each epoch in trainset
| train model on each epoch in trainset
| def train(epoch):
""" train model on each epoch in trainset
"""
global trainloader
global testloader
global net
global criterion
global optimizer
logger.debug("Epoch: %d", epoch)
net.train()
train_loss = 0
correct = 0
total = 0
for batch_idx, (inputs, targets) in enumerate(trainloader):
inputs, targets = inputs.to(device), targets.to(device)
optimizer.zero_grad()
outputs = net(inputs)
loss = criterion(outputs, targets)
loss.backward()
optimizer.step()
train_loss += loss.item()
_, predicted = outputs.max(1)
total += targets.size(0)
correct += predicted.eq(targets).sum().item()
acc = 100.0 * correct / total
logger.debug(
"Loss: %.3f | Acc: %.3f%% (%d/%d)",
train_loss / (batch_idx + 1),
100.0 * correct / total,
correct,
total,
)
return acc | [
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178,
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] | python | en | ['en', 'fy', 'en'] | True |
test | (epoch) | eval model on each epoch in testset
| eval model on each epoch in testset
| def test(epoch):
""" eval model on each epoch in testset
"""
global best_acc
global trainloader
global testloader
global net
global criterion
global optimizer
logger.debug("Eval on epoch: %d", epoch)
net.eval()
test_loss = 0
correct = 0
total = 0
with torch.no_grad():
for batch_idx, (inputs, targets) in enumerate(testloader):
inputs, targets = inputs.to(device), targets.to(device)
outputs = net(inputs)
loss = criterion(outputs, targets)
test_loss += loss.item()
_, predicted = outputs.max(1)
total += targets.size(0)
correct += predicted.eq(targets).sum().item()
acc = 100.0 * correct / total
logger.debug(
"Loss: %.3f | Acc: %.3f%% (%d/%d)",
test_loss / (batch_idx + 1),
100.0 * correct / total,
correct,
total,
)
acc = 100.0 * correct / total
if acc > best_acc:
best_acc = acc
return acc, best_acc | [
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async_setup_entry | (hass, config_entry, async_add_entities) | Set up a sensor for a Ring device. | Set up a sensor for a Ring device. | async def async_setup_entry(hass, config_entry, async_add_entities):
"""Set up a sensor for a Ring device."""
devices = hass.data[DOMAIN][config_entry.entry_id]["devices"]
sensors = []
for device_type in ("chimes", "doorbots", "authorized_doorbots", "stickup_cams"):
for sensor_type in SENSOR_TYPES:
if device_type not in SENSOR_TYPES[sensor_type][1]:
continue
for device in devices[device_type]:
if device_type == "battery" and device.battery_life is None:
continue
sensors.append(
SENSOR_TYPES[sensor_type][6](
config_entry.entry_id, device, sensor_type
)
)
async_add_entities(sensors) | [
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RingSensor.__init__ | (self, config_entry_id, device, sensor_type) | Initialize a sensor for Ring device. | Initialize a sensor for Ring device. | def __init__(self, config_entry_id, device, sensor_type):
"""Initialize a sensor for Ring device."""
super().__init__(config_entry_id, device)
self._sensor_type = sensor_type
self._extra = None
self._icon = "mdi:{}".format(SENSOR_TYPES.get(sensor_type)[3])
self._kind = SENSOR_TYPES.get(sensor_type)[4]
self._name = "{} {}".format(self._device.name, SENSOR_TYPES.get(sensor_type)[0])
self._unique_id = f"{device.id}-{sensor_type}" | [
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] | python | en | ['en', 'en', 'en'] | True |
RingSensor.should_poll | (self) | Return False, updates are controlled via the hub. | Return False, updates are controlled via the hub. | def should_poll(self):
"""Return False, updates are controlled via the hub."""
return False | [
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RingSensor.name | (self) | Return the name of the sensor. | Return the name of the sensor. | def name(self):
"""Return the name of the sensor."""
return self._name | [
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RingSensor.state | (self) | Return the state of the sensor. | Return the state of the sensor. | def state(self):
"""Return the state of the sensor."""
if self._sensor_type == "volume":
return self._device.volume
if self._sensor_type == "battery":
return self._device.battery_life | [
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RingSensor.unique_id | (self) | Return a unique ID. | Return a unique ID. | def unique_id(self):
"""Return a unique ID."""
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RingSensor.device_class | (self) | Return sensor device class. | Return sensor device class. | def device_class(self):
"""Return sensor device class."""
return SENSOR_TYPES[self._sensor_type][5] | [
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RingSensor.icon | (self) | Icon to use in the frontend, if any. | Icon to use in the frontend, if any. | def icon(self):
"""Icon to use in the frontend, if any."""
if self._sensor_type == "battery" and self._device.battery_life is not None:
return icon_for_battery_level(
battery_level=self._device.battery_life, charging=False
)
return self._icon | [
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RingSensor.unit_of_measurement | (self) | Return the units of measurement. | Return the units of measurement. | def unit_of_measurement(self):
"""Return the units of measurement."""
return SENSOR_TYPES.get(self._sensor_type)[2] | [
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HealthDataRingSensor.async_added_to_hass | (self) | Register callbacks. | Register callbacks. | async def async_added_to_hass(self):
"""Register callbacks."""
await super().async_added_to_hass()
await self.ring_objects["health_data"].async_track_device(
self._device, self._health_update_callback
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HealthDataRingSensor.async_will_remove_from_hass | (self) | Disconnect callbacks. | Disconnect callbacks. | async def async_will_remove_from_hass(self):
"""Disconnect callbacks."""
await super().async_will_remove_from_hass()
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HealthDataRingSensor._health_update_callback | (self, _health_data) | Call update method. | Call update method. | def _health_update_callback(self, _health_data):
"""Call update method."""
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HealthDataRingSensor.entity_registry_enabled_default | (self) | Return if the entity should be enabled when first added to the entity registry. | Return if the entity should be enabled when first added to the entity registry. | def entity_registry_enabled_default(self) -> bool:
"""Return if the entity should be enabled when first added to the entity registry."""
# These sensors are data hungry and not useful. Disable by default.
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HealthDataRingSensor.state | (self) | Return the state of the sensor. | Return the state of the sensor. | def state(self):
"""Return the state of the sensor."""
if self._sensor_type == "wifi_signal_category":
return self._device.wifi_signal_category
if self._sensor_type == "wifi_signal_strength":
return self._device.wifi_signal_strength | [
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HistoryRingSensor.async_added_to_hass | (self) | Register callbacks. | Register callbacks. | async def async_added_to_hass(self):
"""Register callbacks."""
await super().async_added_to_hass()
await self.ring_objects["history_data"].async_track_device(
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HistoryRingSensor.async_will_remove_from_hass | (self) | Disconnect callbacks. | Disconnect callbacks. | async def async_will_remove_from_hass(self):
"""Disconnect callbacks."""
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HistoryRingSensor._history_update_callback | (self, history_data) | Call update method. | Call update method. | def _history_update_callback(self, history_data):
"""Call update method."""
if not history_data:
return
found = None
if self._kind is None:
found = history_data[0]
else:
for entry in history_data:
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found = entry
break
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HistoryRingSensor.state | (self) | Return the state of the sensor. | Return the state of the sensor. | def state(self):
"""Return the state of the sensor."""
if self._latest_event is None:
return None
return self._latest_event["created_at"].isoformat() | [
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HistoryRingSensor.device_state_attributes | (self) | Return the state attributes. | Return the state attributes. | def device_state_attributes(self):
"""Return the state attributes."""
attrs = super().device_state_attributes
if self._latest_event:
attrs["created_at"] = self._latest_event["created_at"]
attrs["answered"] = self._latest_event["answered"]
attrs["recording_status"] = self._latest_event["recording"]["status"]
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async_setup | (hass, config) | Register the built-in map panel. | Register the built-in map panel. | async def async_setup(hass, config):
"""Register the built-in map panel."""
hass.components.frontend.async_register_built_in_panel(
"map", "map", "hass:tooltip-account"
)
return True | [
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async_setup_entry | (hass, entry, async_add_entities) | Set up Ambient PWS binary sensors based on a config entry. | Set up Ambient PWS binary sensors based on a config entry. | async def async_setup_entry(hass, entry, async_add_entities):
"""Set up Ambient PWS binary sensors based on a config entry."""
ambient = hass.data[DOMAIN][DATA_CLIENT][entry.entry_id]
binary_sensor_list = []
for mac_address, station in ambient.stations.items():
for condition in station[ATTR_MONITORED_CONDITIONS]:
name, _, kind, device_class = SENSOR_TYPES[condition]
if kind == TYPE_BINARY_SENSOR:
binary_sensor_list.append(
AmbientWeatherBinarySensor(
ambient,
mac_address,
station[ATTR_NAME],
condition,
name,
device_class,
)
)
async_add_entities(binary_sensor_list, True) | [
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AmbientWeatherBinarySensor.is_on | (self) | Return the status of the sensor. | Return the status of the sensor. | def is_on(self):
"""Return the status of the sensor."""
if self._sensor_type in (
TYPE_BATT1,
TYPE_BATT10,
TYPE_BATT2,
TYPE_BATT3,
TYPE_BATT4,
TYPE_BATT5,
TYPE_BATT6,
TYPE_BATT7,
TYPE_BATT8,
TYPE_BATT9,
TYPE_BATTOUT,
):
return self._state == 0
return self._state == 1 | [
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AmbientWeatherBinarySensor.update_from_latest_data | (self) | Fetch new state data for the entity. | Fetch new state data for the entity. | def update_from_latest_data(self):
"""Fetch new state data for the entity."""
self._state = self._ambient.stations[self._mac_address][ATTR_LAST_DATA].get(
self._sensor_type
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CloudPreferences.__init__ | (self, hass) | Initialize cloud prefs. | Initialize cloud prefs. | def __init__(self, hass):
"""Initialize cloud prefs."""
self._hass = hass
self._store = hass.helpers.storage.Store(STORAGE_VERSION, STORAGE_KEY)
self._prefs = None
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CloudPreferences.async_initialize | (self) | Finish initializing the preferences. | Finish initializing the preferences. | async def async_initialize(self):
"""Finish initializing the preferences."""
prefs = await self._store.async_load()
if prefs is None:
prefs = self._empty_config("")
self._prefs = prefs
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CloudPreferences.async_listen_updates | (self, listener) | Listen for updates to the preferences. | Listen for updates to the preferences. | def async_listen_updates(self, listener):
"""Listen for updates to the preferences."""
self._listeners.append(listener) | [
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CloudPreferences.async_update | (
self,
*,
google_enabled=_UNDEF,
alexa_enabled=_UNDEF,
remote_enabled=_UNDEF,
google_secure_devices_pin=_UNDEF,
cloudhooks=_UNDEF,
cloud_user=_UNDEF,
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alexa_report_state=_UNDEF,
google_report_state=_UNDEF,
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google_default_expose=_UNDEF,
) | Update user preferences. | Update user preferences. | async def async_update(
self,
*,
google_enabled=_UNDEF,
alexa_enabled=_UNDEF,
remote_enabled=_UNDEF,
google_secure_devices_pin=_UNDEF,
cloudhooks=_UNDEF,
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google_report_state=_UNDEF,
alexa_default_expose=_UNDEF,
google_default_expose=_UNDEF,
):
"""Update user preferences."""
prefs = {**self._prefs}
for key, value in (
(PREF_ENABLE_GOOGLE, google_enabled),
(PREF_ENABLE_ALEXA, alexa_enabled),
(PREF_ENABLE_REMOTE, remote_enabled),
(PREF_GOOGLE_SECURE_DEVICES_PIN, google_secure_devices_pin),
(PREF_CLOUDHOOKS, cloudhooks),
(PREF_CLOUD_USER, cloud_user),
(PREF_GOOGLE_ENTITY_CONFIGS, google_entity_configs),
(PREF_ALEXA_ENTITY_CONFIGS, alexa_entity_configs),
(PREF_ALEXA_REPORT_STATE, alexa_report_state),
(PREF_GOOGLE_REPORT_STATE, google_report_state),
(PREF_ALEXA_DEFAULT_EXPOSE, alexa_default_expose),
(PREF_GOOGLE_DEFAULT_EXPOSE, google_default_expose),
):
if value is not _UNDEF:
prefs[key] = value
if remote_enabled is True and self._has_local_trusted_network:
prefs[PREF_ENABLE_REMOTE] = False
raise InvalidTrustedNetworks
if remote_enabled is True and self._has_local_trusted_proxies:
prefs[PREF_ENABLE_REMOTE] = False
raise InvalidTrustedProxies
await self._save_prefs(prefs) | [
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] | [
73,
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] | [
117,
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] | python | en | ['en', 'en', 'en'] | True |
CloudPreferences.async_update_google_entity_config | (
self,
*,
entity_id,
override_name=_UNDEF,
disable_2fa=_UNDEF,
aliases=_UNDEF,
should_expose=_UNDEF,
) | Update config for a Google entity. | Update config for a Google entity. | async def async_update_google_entity_config(
self,
*,
entity_id,
override_name=_UNDEF,
disable_2fa=_UNDEF,
aliases=_UNDEF,
should_expose=_UNDEF,
):
"""Update config for a Google entity."""
entities = self.google_entity_configs
entity = entities.get(entity_id, {})
changes = {}
for key, value in (
(PREF_OVERRIDE_NAME, override_name),
(PREF_DISABLE_2FA, disable_2fa),
(PREF_ALIASES, aliases),
(PREF_SHOULD_EXPOSE, should_expose),
):
if value is not _UNDEF:
changes[key] = value
if not changes:
return
updated_entity = {**entity, **changes}
updated_entities = {**entities, entity_id: updated_entity}
await self.async_update(google_entity_configs=updated_entities) | [
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] | python | en | ['en', 'en', 'en'] | True |
CloudPreferences.async_update_alexa_entity_config | (
self, *, entity_id, should_expose=_UNDEF
) | Update config for an Alexa entity. | Update config for an Alexa entity. | async def async_update_alexa_entity_config(
self, *, entity_id, should_expose=_UNDEF
):
"""Update config for an Alexa entity."""
entities = self.alexa_entity_configs
entity = entities.get(entity_id, {})
changes = {}
for key, value in ((PREF_SHOULD_EXPOSE, should_expose),):
if value is not _UNDEF:
changes[key] = value
if not changes:
return
updated_entity = {**entity, **changes}
updated_entities = {**entities, entity_id: updated_entity}
await self.async_update(alexa_entity_configs=updated_entities) | [
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] | python | en | ['br', 'en', 'en'] | True |
CloudPreferences.async_set_username | (self, username) | Set the username that is logged in. | Set the username that is logged in. | async def async_set_username(self, username):
"""Set the username that is logged in."""
# Logging out.
if username is None:
user = await self._load_cloud_user()
if user is not None:
await self._hass.auth.async_remove_user(user)
await self._save_prefs({**self._prefs, PREF_CLOUD_USER: None})
return
cur_username = self._prefs.get(PREF_USERNAME)
if cur_username == username:
return
if cur_username is None:
await self._save_prefs({**self._prefs, PREF_USERNAME: username})
else:
await self._save_prefs(self._empty_config(username)) | [
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CloudPreferences.as_dict | (self) | Return dictionary version. | Return dictionary version. | def as_dict(self):
"""Return dictionary version."""
return {
PREF_ALEXA_DEFAULT_EXPOSE: self.alexa_default_expose,
PREF_ALEXA_ENTITY_CONFIGS: self.alexa_entity_configs,
PREF_ALEXA_REPORT_STATE: self.alexa_report_state,
PREF_CLOUDHOOKS: self.cloudhooks,
PREF_ENABLE_ALEXA: self.alexa_enabled,
PREF_ENABLE_GOOGLE: self.google_enabled,
PREF_ENABLE_REMOTE: self.remote_enabled,
PREF_GOOGLE_DEFAULT_EXPOSE: self.google_default_expose,
PREF_GOOGLE_ENTITY_CONFIGS: self.google_entity_configs,
PREF_GOOGLE_REPORT_STATE: self.google_report_state,
PREF_GOOGLE_SECURE_DEVICES_PIN: self.google_secure_devices_pin,
} | [
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] | python | en | ['en', 'en', 'en'] | True |
CloudPreferences.remote_enabled | (self) | Return if remote is enabled on start. | Return if remote is enabled on start. | def remote_enabled(self):
"""Return if remote is enabled on start."""
enabled = self._prefs.get(PREF_ENABLE_REMOTE, False)
if not enabled:
return False
if self._has_local_trusted_network or self._has_local_trusted_proxies:
return False
return True | [
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CloudPreferences.alexa_enabled | (self) | Return if Alexa is enabled. | Return if Alexa is enabled. | def alexa_enabled(self):
"""Return if Alexa is enabled."""
return self._prefs[PREF_ENABLE_ALEXA] | [
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] | python | en | ['en', 'af', 'en'] | True |
CloudPreferences.alexa_report_state | (self) | Return if Alexa report state is enabled. | Return if Alexa report state is enabled. | def alexa_report_state(self):
"""Return if Alexa report state is enabled."""
return self._prefs.get(PREF_ALEXA_REPORT_STATE, DEFAULT_ALEXA_REPORT_STATE) | [
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CloudPreferences.alexa_default_expose | (self) | Return array of entity domains that are exposed by default to Alexa.
Can return None, in which case for backwards should be interpreted as allow all domains.
| Return array of entity domains that are exposed by default to Alexa. | def alexa_default_expose(self) -> Optional[List[str]]:
"""Return array of entity domains that are exposed by default to Alexa.
Can return None, in which case for backwards should be interpreted as allow all domains.
"""
return self._prefs.get(PREF_ALEXA_DEFAULT_EXPOSE) | [
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CloudPreferences.alexa_entity_configs | (self) | Return Alexa Entity configurations. | Return Alexa Entity configurations. | def alexa_entity_configs(self):
"""Return Alexa Entity configurations."""
return self._prefs.get(PREF_ALEXA_ENTITY_CONFIGS, {}) | [
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CloudPreferences.google_enabled | (self) | Return if Google is enabled. | Return if Google is enabled. | def google_enabled(self):
"""Return if Google is enabled."""
return self._prefs[PREF_ENABLE_GOOGLE] | [
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CloudPreferences.google_report_state | (self) | Return if Google report state is enabled. | Return if Google report state is enabled. | def google_report_state(self):
"""Return if Google report state is enabled."""
return self._prefs.get(PREF_GOOGLE_REPORT_STATE, DEFAULT_GOOGLE_REPORT_STATE) | [
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CloudPreferences.google_secure_devices_pin | (self) | Return if Google is allowed to unlock locks. | Return if Google is allowed to unlock locks. | def google_secure_devices_pin(self):
"""Return if Google is allowed to unlock locks."""
return self._prefs.get(PREF_GOOGLE_SECURE_DEVICES_PIN) | [
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CloudPreferences.google_entity_configs | (self) | Return Google Entity configurations. | Return Google Entity configurations. | def google_entity_configs(self):
"""Return Google Entity configurations."""
return self._prefs.get(PREF_GOOGLE_ENTITY_CONFIGS, {}) | [
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CloudPreferences.google_local_webhook_id | (self) | Return Google webhook ID to receive local messages. | Return Google webhook ID to receive local messages. | def google_local_webhook_id(self):
"""Return Google webhook ID to receive local messages."""
return self._prefs[PREF_GOOGLE_LOCAL_WEBHOOK_ID] | [
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CloudPreferences.google_default_expose | (self) | Return array of entity domains that are exposed by default to Google.
Can return None, in which case for backwards should be interpreted as allow all domains.
| Return array of entity domains that are exposed by default to Google. | def google_default_expose(self) -> Optional[List[str]]:
"""Return array of entity domains that are exposed by default to Google.
Can return None, in which case for backwards should be interpreted as allow all domains.
"""
return self._prefs.get(PREF_GOOGLE_DEFAULT_EXPOSE) | [
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CloudPreferences.cloudhooks | (self) | Return the published cloud webhooks. | Return the published cloud webhooks. | def cloudhooks(self):
"""Return the published cloud webhooks."""
return self._prefs.get(PREF_CLOUDHOOKS, {}) | [
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CloudPreferences.get_cloud_user | (self) | Return ID from Home Assistant Cloud system user. | Return ID from Home Assistant Cloud system user. | async def get_cloud_user(self) -> str:
"""Return ID from Home Assistant Cloud system user."""
user = await self._load_cloud_user()
if user:
return user.id
user = await self._hass.auth.async_create_system_user(
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)
await self.async_update(cloud_user=user.id)
return user.id | [
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Subsets and Splits