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| import os | |
| import json | |
| import datetime | |
| import streamlit as st | |
| import streamlit.components.v1 as components | |
| import re | |
| import warnings | |
| import traceback | |
| warnings.filterwarnings("ignore") | |
| # os.environ['SDK_CLIENT_HOST'] = 'https://pre-engine-aiearth.aliyun.com' | |
| import aie | |
| default_map_html = ''' | |
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title>IPyWidget export</title> | |
| </head> | |
| <body> | |
| <!-- Load require.js. Delete this if your page already loads require.js --> | |
| <script src="https://g.alicdn.com/aie/jp-notebook/0.1.15/static/components/jquery/dist/jquery.min.js"></script> | |
| <link rel="stylesheet" href="https://g.alicdn.com/aie/jp-notebook/0.1.15/static/components/jquery/dist/jquery-ui.min.css"> | |
| <script src="https://g.alicdn.com/aie/jp-notebook/0.1.15/static/components/jquery/dist/jquery-ui.min.js"></script> | |
| <script src="https://g.alicdn.com/aie/jp-notebook/0.1.15/static/components/requirejs/require.js"></script> | |
| <script src="https://g.alicdn.com/aie/jp-notebook/0.1.15/static/components/moment/min/moment.min.js"></script> | |
| <link href="https://g.alicdn.com/aie/jp-notebook/0.1.15/static/build/theme.css" rel="stylesheet"> | |
| <style> | |
| #map { | |
| height: 100% !important; | |
| } | |
| .map-trigger { | |
| display: none; | |
| } | |
| </style> | |
| <script type="application/vnd.jupyter.widget-state+json"> | |
| {"version_major": 2, "version_minor": 0, "state": {"94ea4efec6cf44c3bfdae7ea872b2ec3": {"model_name": "LeafletMapStyleModel", "model_module": "jupyter-leaflet", "model_module_version": "^0.15.1", "state": {}}, "397323d9da4942d79ae7a5c917d300e0": {"model_name": "LeafletMapStyleModel", "model_module": "jupyter-leaflet", "model_module_version": "^0.15.1", "state": {"cursor": "move"}}, "f481ac800c3746f78f47085d05ae63b0": {"model_name": "LeafletLayerGroupModel", "model_module": "jupyter-leaflet", "model_module_version": "^0.15.1", "state": {"base": true, "layers": ["IPY_MODEL_36a8e8e546534e548e65cdda5aba81c6", "IPY_MODEL_b0dce2566b604debb38b19c9f25833cd"], "name": "\u7ebf\u753b\u5730\u56fe", "options": []}}, "36a8e8e546534e548e65cdda5aba81c6": {"model_name": "LeafletTDTLayerModel", "model_module": "jupyter-leaflet", "model_module_version": "^0.15.1", "state": {"base": true, "key": "2d585d36d89ab86049e29f6f10364dc3", "options": ["attribution", "bounds", "detect_retina", "key", "max_native_zoom", "max_zoom", "min_native_zoom", "min_zoom", "no_wrap", "proj", "subdomains", "tile_size", "tms", "zoom_offset"], "proj": "c", "subdomains": ["0", "1", "2", "3", "4", "5", "6", "7"], "url": "https://t{s}.tianditu.gov.cn/vec_{proj}/wmts?layer=vec&style=default&tilematrixset={proj}&Service=WMTS&Request=GetTile&Version=1.0.0&Format=tiles&TileMatrix={z}&TileCol={x}&TileRow={y}&tk={key}", "zoom_offset": 1}}, "b0dce2566b604debb38b19c9f25833cd": {"model_name": "LeafletTDTLayerModel", "model_module": "jupyter-leaflet", "model_module_version": "^0.15.1", "state": {"base": true, "key": "2d585d36d89ab86049e29f6f10364dc3", "options": ["attribution", "bounds", "detect_retina", "key", "max_native_zoom", "max_zoom", "min_native_zoom", "min_zoom", "no_wrap", "proj", "subdomains", "tile_size", "tms", "zoom_offset"], "proj": "c", "subdomains": ["0", "1", "2", "3", "4", "5", "6", "7"], "url": "https://t{s}.tianditu.gov.cn/cva_{proj}/wmts?layer=cva&style=default&tilematrixset={proj}&Service=WMTS&Request=GetTile&Version=1.0.0&Format=tiles&TileMatrix={z}&TileCol={x}&TileRow={y}&tk={key}", "zoom_offset": 1}}, "d12e84fcb7c84ef08e01fd06cff095b0": {"model_name": "LeafletLayerGroupModel", "model_module": "jupyter-leaflet", "model_module_version": "^0.15.1", "state": {"base": true, "layers": ["IPY_MODEL_7a8015a60adb47b4b047f9013b77f21d", "IPY_MODEL_622608fb288f43d08511308cf829d853"], "name": "\u9065\u611f\u5730\u56fe", "options": []}}, "7a8015a60adb47b4b047f9013b77f21d": {"model_name": "LeafletTDTLayerModel", "model_module": "jupyter-leaflet", "model_module_version": "^0.15.1", "state": {"base": true, "key": "2d585d36d89ab86049e29f6f10364dc3", "options": ["attribution", "bounds", "detect_retina", "key", "max_native_zoom", "max_zoom", "min_native_zoom", "min_zoom", "no_wrap", "proj", "subdomains", "tile_size", "tms", "zoom_offset"], "proj": "c", "subdomains": ["0", "1", "2", "3", "4", "5", "6", "7"], "url": "https://t{s}.tianditu.gov.cn/img_{proj}/wmts?layer=img&style=default&tilematrixset={proj}&Service=WMTS&Request=GetTile&Version=1.0.0&Format=tiles&TileMatrix={z}&TileCol={x}&TileRow={y}&tk={key}", "zoom_offset": 1}}, "622608fb288f43d08511308cf829d853": {"model_name": "LeafletTDTLayerModel", "model_module": "jupyter-leaflet", "model_module_version": "^0.15.1", "state": {"base": true, "key": "2d585d36d89ab86049e29f6f10364dc3", "options": ["attribution", "bounds", "detect_retina", "key", "max_native_zoom", "max_zoom", "min_native_zoom", "min_zoom", "no_wrap", "proj", "subdomains", "tile_size", "tms", "zoom_offset"], "proj": "c", "subdomains": ["0", "1", "2", "3", "4", "5", "6", "7"], "url": "https://t{s}.tianditu.gov.cn/cia_{proj}/wmts?layer=cia&style=default&tilematrixset={proj}&Service=WMTS&Request=GetTile&Version=1.0.0&Format=tiles&TileMatrix={z}&TileCol={x}&TileRow={y}&tk={key}", "zoom_offset": 1}}, "50ebd50ae88c4b1f805d489b9b30523d": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "state": {"height": "600px", "width": "100%"}}, "03b29492f1cb40429e461a12468e7e30": {"model_name": "LeafletMapStyleModel", "model_module": "jupyter-leaflet", "model_module_version": "^0.15.1", "state": {}}, "350441dafd5b4772bb1a67f9fee4c49c": {"model_name": "LeafletMapModel", "model_module": "jupyter-leaflet", "model_module_version": "^0.15.1", "state": {"_dom_classes": [], "center": [39.916668, 116.383331], "controls": ["IPY_MODEL_4025e26e20e745609ea8d442f4747020", "IPY_MODEL_07a7ab3bb9f54361ab752f3e0d779487", "IPY_MODEL_562b3406280e489c955781f8361e49f5", "IPY_MODEL_a14f44ef9941473c801376919b07ab08", "IPY_MODEL_4e83034b92eb447ca7982055140df1ef"], "crs": {"name": "EPSG4326", "custom": false}, "default_style": "IPY_MODEL_94ea4efec6cf44c3bfdae7ea872b2ec3", "dragging_style": "IPY_MODEL_397323d9da4942d79ae7a5c917d300e0", "layers": ["IPY_MODEL_f481ac800c3746f78f47085d05ae63b0", "IPY_MODEL_d12e84fcb7c84ef08e01fd06cff095b0"], "layout": "IPY_MODEL_50ebd50ae88c4b1f805d489b9b30523d", "options": ["bounce_at_zoom_limits", "box_zoom", "center", "close_popup_on_click", "double_click_zoom", "dragging", "fullscreen", "inertia", "inertia_deceleration", "inertia_max_speed", "interpolation", "keyboard", "keyboard_pan_offset", "keyboard_zoom_offset", "max_zoom", "min_zoom", "prefer_canvas", "scroll_wheel_zoom", "tap", "tap_tolerance", "touch_zoom", "world_copy_jump", "zoom", "zoom_animation_threshold", "zoom_delta", "zoom_snap", "zoom_start"], "style": "IPY_MODEL_03b29492f1cb40429e461a12468e7e30", "zoom": 3.0}}, "4025e26e20e745609ea8d442f4747020": {"model_name": "LeafletZoomControlModel", "model_module": "jupyter-leaflet", "model_module_version": "^0.15.1", "state": {"options": ["position", "zoom_in_text", "zoom_in_title", "zoom_out_text", "zoom_out_title"]}}, "07a7ab3bb9f54361ab752f3e0d779487": {"model_name": "LeafletLayersControlModel", "model_module": "jupyter-leaflet", "model_module_version": "^0.15.1", "state": {"options": ["position"], "position": "topright"}}, "562b3406280e489c955781f8361e49f5": {"model_name": "LeafletScaleControlModel", "model_module": "jupyter-leaflet", "model_module_version": "^0.15.1", "state": {"options": ["imperial", "max_width", "metric", "position", "update_when_idle"], "position": "bottomleft"}}, "a14f44ef9941473c801376919b07ab08": {"model_name": "LeafletFullScreenControlModel", "model_module": "jupyter-leaflet", "model_module_version": "^0.15.1", "state": {"options": ["position"]}}, "4e83034b92eb447ca7982055140df1ef": {"model_name": "LeafletMeasureControlModel", "model_module": "jupyter-leaflet", "model_module_version": "^0.15.1", "state": {"_custom_units": {}, "active_color": "orange", "options": ["active_color", "capture_z_index", "completed_color", "popup_options", "position", "primary_area_unit", "primary_length_unit", "secondary_area_unit", "secondary_length_unit"], "popup_options": {"className": "leaflet-measure-resultpopup", "autoPanPadding": [10, 10]}, "position": "bottomleft", "primary_length_unit": "kilometers"}}}} | |
| </script> | |
| <script type="application/vnd.jupyter.widget-view+json"> | |
| {"version_major": 2, "version_minor": 0, "model_id": "350441dafd5b4772bb1a67f9fee4c49c"} | |
| </script> | |
| <script> | |
| (function() { | |
| function addWidgetsRenderer() { | |
| var mimeElement = document.querySelector('script[type="application/vnd.jupyter.widget-view+json"]'); | |
| var scriptElement = document.createElement('script'); | |
| var widgetRendererSrc = "https://g.alicdn.com/aie/jp-notebook/0.1.15/@jupyter-widgets/html-manager/embed-amd.js"; | |
| var widgetState; | |
| try { | |
| widgetState = mimeElement && JSON.parse(mimeElement.innerHTML); | |
| if (widgetState && (widgetState.version_major < 2 || !widgetState.version_major)) { | |
| widgetRendererSrc = 'https://g.alicdn.com/aie/jp-notebook/0.1.15/jupyter-js-widgets@*/dist/embed.js'; | |
| } | |
| } catch(e) {} | |
| scriptElement.src = widgetRendererSrc; | |
| document.body.appendChild(scriptElement); | |
| } | |
| document.addEventListener('DOMContentLoaded', addWidgetsRenderer); | |
| }()); | |
| window.API_SERVER_CONSOLE="https://engine-aiearth.aliyun.com"; | |
| </script> | |
| <div id="map"></div> | |
| </body> | |
| </html> | |
| ''' | |
| label_text_tmpl=''' | |
| <style> | |
| .filter-label {{ | |
| font-size: 14px; | |
| #font-family: "sans serif"; | |
| vertical-align: middle; | |
| color: #e8eaed; | |
| padding-top: 2px; | |
| }} | |
| </style> | |
| <div class="filter-label"> | |
| {LABEL_TEXT} | |
| </div> | |
| ''' | |
| secondary_label_text_tmpl=''' | |
| <style> | |
| .filter-label {{ | |
| font-size: 12px; | |
| #font-family: "sans serif"; | |
| vertical-align: middle; | |
| color: rgb(232, 234, 237, 0.699999988079071); | |
| padding-top: 2px; | |
| white-space:nowrap; | |
| }} | |
| </style> | |
| <div class="filter-label"> | |
| {LABEL_TEXT} | |
| </div> | |
| ''' | |
| page_title_text_tmpl=''' | |
| <style> | |
| .page_title {{ | |
| font-size: 18px; | |
| // font-family: "sans serif"; | |
| // vertical-align: middle; | |
| color: rgb(232, 234, 237, 0.699999988079071); | |
| font-weight: 600; | |
| }} | |
| .page_desc {{ | |
| font-size: 14px; | |
| //font-family: "sans serif"; | |
| //vertical-align: middle; | |
| color: rgb(232, 234, 237, 0.699999988079071); | |
| //font-weight: 600; | |
| margin-top: 12px; | |
| }} | |
| </style> | |
| <div class="page_title"> | |
| {TITLE_TEXT} | |
| </div> | |
| <div class="page_desc"> | |
| {DESC_TEXT} | |
| </div> | |
| ''' | |
| label_text_component_height = 41 | |
| st.set_page_config(layout="wide") | |
| # AIE数据集stac code | |
| aie_dataset_category = [ | |
| "LANDSAT_LT05_T02_T1_L2" | |
| ,"LANDSAT_LE07_E02_T1_L2" | |
| ,"LANDSAT_LC08_C02_T1_L2" | |
| ,"LANDSAT_LC09_C02_T1_L2" | |
| ,"SENTINEL_MSIL2A" | |
| ] | |
| # L5:1984-2011 | |
| # L7:1999-至今 | |
| # L8:2014-至今 | |
| # L9:2021-至今 | |
| # S2:2018-至今 | |
| # 数据集时间范围 | |
| dataset_timestamp = { | |
| "LANDSAT_LT05_T02_T1_L2": {"startDate": "1984-01-01", "endDate": "2011-12-31", "sampleStart": "2011-11-01", "sampleEnd": "2011-11-30"}, | |
| "LANDSAT_LE07_E02_T1_L2": {"startDate": "1999-01-01", "endDate": "2021-12-31", "sampleStart": "2021-12-01", "sampleEnd": "2021-12-31"}, | |
| "LANDSAT_LC08_C02_T1_L2": {"startDate": "2014-01-01", "endDate": "__NOW__", "sampleStart": "2023-02-01", "sampleEnd": "2023-03-28"}, | |
| "LANDSAT_LC09_C02_T1_L2": {"startDate": "2021-01-01", "endDate": "__NOW__", "sampleStart": "2023-01-01", "sampleEnd": "2023-03-01"}, | |
| "SENTINEL_MSIL2A": {"startDate": "2018-01-01", "endDate": "__NOW__", "sampleStart": "2023-03-01", "sampleEnd": "2023-03-28"} | |
| } | |
| # aie_area_meta = {} | |
| image_collection_reduce_funcs = [ | |
| "median", | |
| "min", | |
| "max", | |
| "mosaic", | |
| "mean" | |
| ] | |
| def aie_init(): | |
| token = os.environ.get("SDK_TOKEN") | |
| #token = "81921ae3af932cf35f1e56de4a8b1ca4" | |
| aie.Authenticate(token=token) | |
| aie.Initialize() | |
| def load_area_select_options(): | |
| file_path = "./china-area.json" | |
| with open(file_path, 'r', encoding="utf-8") as reader: | |
| area_arr = json.loads(reader.read()) | |
| area_dic = {} | |
| for item in area_arr: | |
| province_name = item['levelOneAreaName'] | |
| city_name = item['levelTwoAreaName'] | |
| district_name = item['areaName'] | |
| if not province_name in area_dic: | |
| area_dic[province_name] = {} | |
| cities = area_dic[province_name] | |
| if not city_name in cities: | |
| cities[city_name] = {} | |
| districts = cities[city_name] | |
| if not district_name in districts: | |
| districts[district_name] = district_name | |
| print("tianxun area data init complete") | |
| return area_dic | |
| def load_dataset_info(): | |
| file_path = "./aie_dataset_meta.json" | |
| with open(file_path, 'r', encoding="utf-8") as reader: | |
| _dataset = json.loads(reader.read()) | |
| return _dataset | |
| def page_reset_callback(): | |
| st.session_state['dateset_picker'] = 'LANDSAT_LT05_T02_T1_L2' | |
| st.session_state['region_province_select'] = '北京市' | |
| st.session_state['region_city_select'] = '请选择城市' | |
| st.session_state['region_district_select'] = '请选择' | |
| st.session_state['time_picker'] = [datetime.date(2011, 1, 1), datetime.date(2011, 6, 30)] | |
| st.session_state['cloud_picker'] = '20%' | |
| st.session_state['reduce_picker'] = 'median' | |
| st.session_state['band_picker'] = [] | |
| st.session_state['min_input'] = '8000' | |
| st.session_state['max_input'] = '13000' | |
| st.session_state['render_map_html'] = None | |
| def page_components_render(ctr_panel, map_panel): | |
| with ctr_panel: | |
| hide_streamlit_menu = """ | |
| <style> | |
| #MainMenu {visibility: hidden;} | |
| </style> | |
| """ | |
| st.markdown(hide_streamlit_menu, unsafe_allow_html=True) | |
| area_selections = load_area_select_options() | |
| dataset_meta = load_dataset_info() | |
| # title | |
| components.html(page_title_text_tmpl.format(TITLE_TEXT="影像快速检索", DESC_TEXT="卫星影像数据获取是业务应用分析的第一步工作，基于平台现有Landsat和Sentinel系列卫星数据资源，根据用户选择的感兴趣行政区、时间范围、云量等参数，可快速获取覆盖区域内的已镶嵌和裁剪后的卫星数据。"), height=160) | |
| # 选择数据集类型 | |
| dataset_label, dataset_select = st.columns([1.1, 3.9]) | |
| # todo: 实在不行，label用html渲染 | |
| with dataset_label: | |
| # st.text("数据类型") | |
| components.html(label_text_tmpl.format(LABEL_TEXT="数据类型"), height=label_text_component_height) | |
| with dataset_select: | |
| dataset_empty = st.empty() | |
| dataset = dataset_empty.selectbox(label="请选择数据类型", options=aie_dataset_category, key="dateset_picker", label_visibility="collapsed") | |
| # 区域过滤 | |
| region_label, province_select, city_select = st.columns([1.65,2.8,2.75]) | |
| with region_label: | |
| # st.text("区域选择") | |
| components.html(label_text_tmpl.format(LABEL_TEXT="区域选择"), height=label_text_component_height) | |
| with province_select: | |
| region_province_options = [name for name in area_selections] | |
| region_province = st.selectbox(label="请选择省", options=region_province_options, key="region_province_select", label_visibility="collapsed") | |
| with city_select: | |
| region_city_options = [] | |
| if region_province: | |
| region_city_options = [name for name in area_selections[region_province]] | |
| region_city_options_update = ['请选择'] + region_city_options | |
| region_city = st.selectbox(label="请选择市", options=region_city_options_update, key="region_city_select", label_visibility="collapsed") | |
| # 选择时间区间 | |
| time_label, time_select = st.columns([1.1, 3.9]) | |
| with time_label: | |
| # st.text("检索日期") | |
| components.html(label_text_tmpl.format(LABEL_TEXT="检索日期"), height=label_text_component_height) | |
| with time_select: | |
| try: | |
| min_time = datetime.date(2011, 1, 1) | |
| max_time = datetime.date(2011, 6, 30) | |
| sample_start_time = datetime.date(2011, 1, 1) | |
| sample_end_time = datetime.date(2011, 6, 30) | |
| if dataset and dataset in dataset_timestamp: | |
| min_time = datetime.datetime.strptime(dataset_timestamp[dataset]['startDate'], '%Y-%m-%d') | |
| if dataset_timestamp[dataset]['endDate'] == '__NOW__': | |
| # max_time = datetime.date.today() | |
| max_time = datetime.datetime.strptime(str(datetime.date.today()), '%Y-%m-%d') | |
| else: | |
| max_time = datetime.datetime.strptime(dataset_timestamp[dataset]['endDate'], '%Y-%m-%d') | |
| # print(f"[DEBUG] {dataset} max_time = {max_time}, min_time = {min_time}") | |
| sample_start_time = datetime.datetime.strptime(dataset_timestamp[dataset]['sampleStart'], '%Y-%m-%d') | |
| sample_end_time = datetime.datetime.strptime(dataset_timestamp[dataset]['sampleEnd'], '%Y-%m-%d') | |
| start_date, end_date = st.date_input(label="Select image time range", min_value=min_time, max_value=max_time,value=[sample_start_time, sample_end_time], key="time_picker", label_visibility="collapsed") | |
| except Exception as e: | |
| print("date picker error. ignore") | |
| # 选择云量 | |
| cloud_label, cloud_select = st.columns([1.1, 3.9]) | |
| with cloud_label: | |
| # st.text("云量") | |
| components.html(label_text_tmpl.format(LABEL_TEXT="云 量"), height=label_text_component_height) | |
| with cloud_select: | |
| cloud_options = [ str(x) + "%" for x in range(0, 105, 5)] | |
| end_cloud = st.select_slider( | |
| '选择云量', | |
| options=cloud_options, | |
| key='cloud_picker', | |
| value='20%', label_visibility="collapsed") | |
| # 选择镶嵌方式 | |
| crop_label, crop_select = st.columns([1.1, 3.9]) | |
| with crop_label: | |
| #st.text("镶嵌方式") | |
| components.html(label_text_tmpl.format(LABEL_TEXT="镶嵌方式"), height=label_text_component_height) | |
| with crop_select: | |
| crop_type = st.selectbox(label="请选择镶嵌方式", options=image_collection_reduce_funcs, key="reduce_picker", label_visibility="collapsed") | |
| # 波段选择（默认填充前3个） | |
| band_label, band_select = st.columns([1.1, 3.9]) | |
| with band_label: | |
| # st.text("波段选择") | |
| components.html(label_text_tmpl.format(LABEL_TEXT="波段选择"), height=label_text_component_height) | |
| with band_select: | |
| bands_option = [] | |
| if dataset and dataset in dataset_meta: | |
| bands_option = [band_name for band_name in dataset_meta[dataset]['bands']] | |
| bands = st.multiselect("Select bands to display", options=bands_option, key="band_picker", label_visibility="collapsed", max_selections=3) | |
| minmax_label, min_label, min_select, max_label, max_select = st.columns([1.55, 1.22, 1.74, 1.23, 1.74]) | |
| with min_label: | |
| # st.text("最小值") | |
| components.html(secondary_label_text_tmpl.format(LABEL_TEXT="最小值"), height=label_text_component_height) | |
| with min_select: | |
| default_min = 100 | |
| if dataset and dataset in dataset_meta: | |
| default_min = dataset_meta[dataset]['min'] | |
| min = st.text_input(label="Enter image min",value=str(default_min), key="min_input", label_visibility="collapsed") | |
| with max_label: | |
| #st.text("最大值") | |
| components.html(secondary_label_text_tmpl.format(LABEL_TEXT="最大值"), height=label_text_component_height) | |
| with max_select: | |
| default_max = 10000 | |
| if dataset and dataset in dataset_meta: | |
| default_max = dataset_meta[dataset]['max'] | |
| max = st.text_input(label="Enter image max",value=str(default_max), key="max_input", label_visibility="collapsed") | |
| reset_btn, query_btn = st.columns([1, 2]) | |
| with reset_btn: | |
| page_reset = st.button("重置", type='secondary', key='reset_btn', use_container_width=True, on_click=page_reset_callback) | |
| with query_btn: | |
| submit = st.button("检索", type='primary', key='submit_btn', use_container_width=True) | |
| # date_debug = str(dataset) + ", max_time = " + str(max_time) + ", min_time = " + str(min_time) | |
| # st.write(date_debug) | |
| if page_reset: | |
| with map_panel: | |
| components.html(default_map_html, height=780, scrolling=False) | |
| return | |
| if submit: | |
| # 参数校验 | |
| errMsg = None | |
| if not start_date or not end_date: | |
| errMsg = "请选择时间" | |
| elif start_date >= max_time.date(): | |
| errMsg = "未检索到数据，请重新设置检索日期" | |
| elif not bands or len(bands) == 0: | |
| errMsg = "请选择波段" | |
| elif not min or not max: | |
| errMsg = "请输入最大最小值" | |
| else: | |
| try: | |
| ti = float(min) | |
| ta = float(max) | |
| except Exception as e: | |
| errMsg = "最大最小值只能为数字" | |
| if errMsg: | |
| aie_init() | |
| with ctr_panel: | |
| st.error(errMsg) | |
| with map_panel: | |
| components.html(default_map_html, height=780, scrolling=False) | |
| return | |
| if dataset: | |
| try: | |
| # 拼接AIE 数据查询SDK语句 | |
| aie_init() | |
| image_collection = aie.ImageCollection(dataset) | |
| if start_date and end_date: | |
| image_collection = image_collection.filterDate(start_date.strftime('%Y-%m-%d'), end_date.strftime('%Y-%m-%d')) | |
| if region_province or region_city: | |
| fc = aie.FeatureCollection('China_City') | |
| if region_province: | |
| fc = fc.filter(aie.Filter.eq('province', region_province)) | |
| if region_city and region_city != '请选择': | |
| fc = fc.filter(aie.Filter.eq('city', region_city)) | |
| # 用选择的数据重新初始化map组件 | |
| aie_map = aie.Map( | |
| center=fc.getCenter(), | |
| height=800, | |
| zoom=7 | |
| ) | |
| region_vis_params = { | |
| 'color': '#00FF00' | |
| } | |
| aie_map.addLayer( | |
| fc, | |
| region_vis_params, | |
| '行政区划边界', | |
| bounds=fc.getBounds() | |
| ) | |
| image_collection = image_collection.filterBounds(fc.geometry()) | |
| if end_cloud: | |
| end_cloud_val = end_cloud.replace('%','') | |
| image_collection = image_collection.filter(aie.Filter.lte('eo:cloud_cover', int(end_cloud_val))) | |
| if crop_type == 'median': | |
| image_collection = image_collection.median() | |
| elif crop_type == 'min': | |
| image_collection = image_collection.min() | |
| elif crop_type == 'max': | |
| image_collection = image_collection.max() | |
| elif crop_type == 'mosaic': | |
| image_collection = image_collection.mosaic() | |
| elif crop_type == 'mean': | |
| image_collection = image_collection.mean() | |
| if region_province or region_city: | |
| image_collection = image_collection.clipToCollection(fc) | |
| vis_params = {} | |
| if bands: | |
| vis_params['bands'] = list(bands) | |
| if min and max: | |
| vis_params['min'] = float(min) | |
| vis_params['max'] = float(max) | |
| aie_map.addLayer( | |
| image_collection, | |
| vis_params, | |
| dataset, | |
| bounds=image_collection.getBounds() | |
| ) | |
| except Exception as e: | |
| traceback.print_exc() | |
| with ctr_panel: | |
| # st.error(e) | |
| st.error("未检索到数据集信息, 请重新设置查询条件") | |
| with map_panel: | |
| components.html(default_map_html, height=780, scrolling=False) | |
| return | |
| with map_panel: | |
| # 对于未点击submit的情况， 直接读取静态html字符串来加快load速度 | |
| if submit: | |
| map_html_source = aie_map.to_html() | |
| st.session_state['render_map_html'] = map_html_source | |
| components.html(map_html_source, height=780, scrolling=False) | |
| else: | |
| display_template = default_map_html | |
| if 'render_map_html' in st.session_state and st.session_state['render_map_html']: | |
| display_template = st.session_state['render_map_html'] | |
| components.html(display_template, height=780, scrolling=False) | |
| # components.html(default_map_html, height=800, scrolling=False) | |
| row1_col1, row1_col2 = st.columns([0.8, 2.2]) | |
| page_components_render(row1_col1, row1_col2) | |