arafatea / app.py
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Update app.py
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from __future__ import annotations as _annotations
import os
import asyncio
import json
import sqlite3
import datetime
import fastapi
import logfire
import time
from collections.abc import AsyncIterator
from concurrent.futures.thread import ThreadPoolExecutor
from contextlib import asynccontextmanager
from dataclasses import dataclass
from datetime import datetime, timezone, date
from functools import partial
from pathlib import Path
from typing import Annotated, Any, Callable, Literal, TypeVar
from pydantic import BaseModel, Field, ValidationError, model_validator
from typing import List, Optional, Dict
from fastapi import Depends, Request
from fastapi.responses import FileResponse, Response, StreamingResponse
from typing_extensions import LiteralString, ParamSpec, TypedDict
from pydantic_ai import Agent, ModelRetry, RunContext
from pydantic_ai.exceptions import UnexpectedModelBehavior
from pydantic_ai.messages import (
ModelMessage,
ModelMessagesTypeAdapter,
ModelRequest,
ModelResponse,
TextPart,
UserPromptPart,
)
from pydantic_ai.models.openai import OpenAIModel
#from pydantic_ai import OpenAIEmbeddings
#from sentence_transformers import SentenceTransformer
#embedding_model = SentenceTransformer("all-mpnet-base-v2")
class EmbeddingRequest(BaseModel):
text: str
class EmbeddingResponse(BaseModel):
embeddings: List[float]
abc = """
Anda adalah pelayan yang ramah, mampu memberikan info tentang Toko Teh "Arafatea", yaitu toko yang menjual 4 Kategori Produk yaitu (1) Teh Premium, (2) Teh Herbal, (3) Camilan/Snack dan (4) Buah Kering. Untuk Kategori Teh Premium ada 5 produk yaitu Teh Hitam, Teh Hijau, Teh Putih, Teh Genmaicha dan Matcha. Dalam kategori Teh Herbal ada 5 produk yaitu Pandan Tea, Mint Tea, Orange Tea, Teh Buah, dan Teh Rempah. Untuk kategori "Snack" meliputi 4 produk yaitu Greentea-Chocobar, Coffee-Chocobar, Rice-Cracker-Greentea, Rice-Cracker-Coffee; Untuk kategori "Buah Kering" meliputi 8 nama produk meliputi Buah Kering Mangga, Buah Kering Nanas, Buah Kering Lemon, dan Buah Kering Strawberry; Jus Mangga Kering, Jus Nanas Kering, Jus Buah Naga Kering, dan Jus Stawberry Kering. Tidak ada produk selain produk yang masuk 4 kategori tersebut. Alamat website www.arafatea.com, atau www.shopee.co.id/arafatea nomor telepon toko Arafatea adalah 08170218404
"""
#await onFetchResponse(response)
#get_embeddings({"text":abc})
model = OpenAIModel(
'gemma-2-2b-it', #'llama-3.2-1b-instruct',
base_url='http://localhost:1234/v1',
api_key='your-local-api-key',
)
model2 = OpenAIModel(
'gemma-2-2b-it', #'llama-3.2-1b-instruct',
base_url='http://localhost:52199/api/v1/openai',
api_key='D6K06DS-P474SK6-P2ACYYC-K5516S1',
)
model1 = OpenAIModel(
'gemma-2-2b-it', #'llama-3.2-1b-instruct',
base_url='http://localhost:52199/api/v1',
api_key='D6K06DS-P474SK6-P2ACYYC-K5516S1',
)
# Model Pydantic untuk Sales Order
class product1(BaseModel):
ds_productCode: Optional[str] = "" #str = Field(..., min_length=1, max_length=20)
ds_productName: str = Field(..., min_length=1, max_length=100)
ds_quantity: int = Field(..., ge=1)
ds_unitPrice: float = Field(..., ge=0)
ds_itemAmt: Optional[float] = 0
# 'if-token-present' means nothing will be sent (and the example will work) if you don't have logfire configured
logfire.configure(send_to_logfire='if-token-present')
class product(BaseModel):
ds_productCode: Optional[str] = "" #str = Field(..., min_length=1, max_length=20)
ds_productName: Optional[str] = ""
ds_quantity: Optional[int] = 0
ds_unitPrice: Optional[float] = 0
ds_itemAmt: Optional[float] = 0
class SalesOrder(BaseModel):
ds_salesOrderId: Optional[str] = ""
ds_salesDate: Optional[str] = ""
ds_customerName: str = Field(..., min_length=1, max_length=100)
ds_customerAddress: Optional[str] = ""
ds_items: List[product] = Field(..., min_items=1)
ds_shippingCost:Optional[float] = 0
ds_shippingAddress: Optional[str] = ""
ds_totalAmount:Optional[float] = 0
#ds_paymentTerms: Optional[str] = ""
os.environ['GEMINI_API_KEY'] = 'AIzaSyAsVIHsPIIfDBTb2K6VNdNlMt05t8x3mtE'
#agent= Agent('gemini-1.5-flash', result_type=SalesOrder)
# # Create a system prompt to guide the model
SYSTEM_PROMPT = """
Anda adalah pelayan yang ramah, mampu memberikan info tentang Toko Teh "Arafatea", yaitu toko yang menjual 4 Kategori Produk yaitu (1) Teh Premium, (2) Teh Herbal, (3) Camilan/Snack dan (4) Buah Kering. Untuk Kategori Teh Premium ada 5 produk yaitu P11-Teh Hitam, P12-Teh Hijau, P13-Teh Putih, P14-Teh Genmaicha dan P15-Matcha (Serbuk Teh Hijau). Dalam kategori Teh Herbal ada 5 produk yaitu P21-Pandan Tea, P22-Mint Tea, P23-Orange Tea, P24-Teh Buah, dan P25-Teh Rempah. Untuk kategori "Snack" meliputi 4 produk yaitu P31-Greentea-Chocobar, P32-Coffee-Chocobar, P33-Rice-Cracker-Greentea, P34-Rice-Cracker-Coffee; Untuk kategori "Buah Kering" meliputi 8 nama produk meliputi P41 Buah Mangga Kering, P42-Buah Nanas Kering, P43-Buah Lemon Kering, dan P44-Buah Strawberry Kering; P45-Jus Mangga Kering, P46-Jus Nanas Kering, P47-Jus Buah Naga Kering, dan P48-Jus Stawberry Kering. Tidak ada produk selain produk yang masuk 4 kategori tersebut. Alamat website www.arafatea.com, atau www.shopee.co.id/arafatea nomor telepon toko Arafatea adalah 08170218404.
Berikut ini adalah informasi tentang masing-masing produk.
P11-Teh Hitam, adalah teh hitam kualitas terbaik, ditanam di dataran tinggi Bandung dengan hara tanah baik, menghasilkan teh hitam berkualitas.
P12-Teh Hijau, adalah teh hijau kualitas terbaik, ditanam di dataran tinggi Bandung dengan hara tanah baik, menghasilkan teh hijau berkualitas.
P13-Teh Putih, adalah teh putih yang dibuat hanya dari pucuk daun teh yang belum mekar. Dikeringkan dengan mesin dehydrator pada suhu rendah, secara hygienis dan otomatis.
P14-Teh Genmaicha, adalah teh hijau yang dihasilkan dari varietas tanaman Teh Yabugita (Japanese style), terkenal karena rasanya yang enak tanpa rasa sepet/pahit.
P15-Matcha (Serbuk Teh Hijau), adalah daun teh hijau kualitas terbaik yang dijadikan serbuk, biasa dinikmati sebagai macha murni dan matcha latte (dengan tambahan krimer)
P21 Pandan Tea, adalah sinergi Teh hijau ditambah daun pandan, menghasilkan teh hijau berkualitas dengan aroma harum dari daun pandan.
P22 Mint Tea, adalah sinergi Teh hijau dan daun mint yang menyegarkan.
P23 Orange Tea, adalah sinergi Teh hitam dan irisan buah jeruk, rasanya enak menyegarkan khas teh buah jeruk.
P24 Teh Buah, adalah teh hitam yang bersinergi dengan beberapaa macam buah termasuk lemon dan nanas.
P25 Teh Rempah, adalah teh hijau dengan campuran herbal untuk meningkatkan imunitas, terutama untuk menghadapi cuaca hujan dan konsidi polusi.
P31-Greentea-Chocobar, adalah coklat berbentuk batang dengan dilapisi teh hijau terbaik, mengandung zat aktif l-theanine dalaam dosis cukup menenangkan.
P32-Coffee-Chocobar, adalah coklat batang dilapisi serbuk kopi, enak menyegarkan.
P33-Rice-Cracker-Greentea, adalah nasi ketan yang dilapisi teh hijau, sungguh enak sekali, sumber energi dan meningkatkan fokus.
P34-Rice-Cracker-Coffee, adalah sumber energi karena mengandung karbohidrat dari nasi ketan, dan kesegaran dari kopi.
P41 Buah Mangga Kering, berupa irisan tipis buah mangga, dikeringkan dengan mesin dehydrator suhu rendah. Asli buah, tanpa tambahan apapun, 100 persen alami, sumber serat dan vitamin.
P42 Buah Nanas Kering, berupa irisan tipis buah nanas, dikeringkan dengan mesin dehydrator suhu rendah. Asli buah, tanpa tambahan apapun, 100 persen alami, sumber serat dan vitamin.
P43 Buah Naga Kering, berupa irisan tipis buah naga, dikeringkan dengan mesin dehydrator suhu rendah. Asli buah, tanpa tambahan apapun, 100 persen alami, sumber serat dan vitamin.
P44 Buah Strawberry Kering, berupa irisan tipis buah Strawberry, dikeringkan dengan mesin dehydrator suhu rendah. Asli buah, tanpa tambahan apapun, 100 persen alami, sumber serat dan vitamin.
P45 Jus Mangga Kering, biasa disebut Manggo fruit leather, dibuat dari buah Mangga yang matang di pohon, dibersihkan dan di-jus, kemudian dikeringkan dengan mesin dehydrator suhu rendah. Hasilnya jus buah Mangga yang kering berbentuk lembaran, awet dan 100 persen alami.
P46 Jus Nanas Kering, biasa disebut Pineapple fruit leather, dibuat dari buah Nanas yang matang di pohon, dibersihkan dan di-jus, kemudian dikeringkan dengan mesin dehydrator suhu rendah. Hasilnya jus buah Nanas yang kering berbentuk lembaran, awet dan 100 persen alami.
P47 Jus Buah Naga Kering, biasa disebut Dragon fruit leather, dibuat dari buah Naga yang matang di pohon, dibersihkan dan di-jus, kemudian dikeringkan dengan mesin dehydrator suhu rendah. Hasilnya buah Naga kering berbentuk lembaran, awet dan 100 persen alami.
P48 Jus Strawberry Kering, biasa disebut Strawberry fruit leather, dibuat dari buah strawberry yang matang di pohon, dibersihkan dan di-jus, kemudian dikeringkan dengan mesin dehydrator suhu rendah. Hasilnya strawberry kering berbentuk lembaran, awet dan 100 persen alami.
"""
#agent3 = Agent(model=ollama_model, result_type=PetList, retries=3, system_prompt=SYSTEM_PROMPT)
#agent3 = Agent(model=ollama_model, retries=3, system_prompt=SYSTEM_PROMPT)
#INI SAJA. SALAH SATU
agent = Agent('gemini-1.5-flash', system_prompt=SYSTEM_PROMPT) # OK-Gemini
#agent = Agent(model) # OK-Lokal
#agent = Agent(model, system_prompt=SYSTEM_PROMPT) # OK-Lokal
THIS_DIR = Path(__file__).parent
@asynccontextmanager
async def lifespan(_app: fastapi.FastAPI):
async with Database.connect() as db:
yield {'db': db}
app = fastapi.FastAPI(lifespan=lifespan)
logfire.instrument_fastapi(app)
@app.get('/')
async def index() -> FileResponse:
print(THIS_DIR / 'produk.html')
return FileResponse((THIS_DIR / 'produk.html'), media_type='text/html')
@app.get('/chat_app.ts')
async def main_ts() -> FileResponse:
"""Get the raw typescript code, it's compiled in the browser, forgive me."""
return FileResponse((THIS_DIR / 'chat_app.ts'), media_type='text/plain')
async def get_db(request: Request) -> Database:
return request.state.db
@app.get('/chat/')
async def get_chat(database: Database = Depends(get_db)) -> Response:
msgs = await database.get_messages()
return Response(
b'\n'.join(json.dumps(to_chat_message(m)).encode('utf-8') for m in msgs),
media_type='text/plain',
)
@app.get('/embed/')
async def get_embeddings(request: EmbeddingRequest):
print(request.text)
embeddings_result = await embedding_model.encode(request.text)
abcde = embeddings_result.tolist()
print(abcde)
return EmbeddingResponse(embeddings=embeddings_result.tolist())
class ChatMessage(TypedDict):
"""Format of messages sent to the browser."""
role: Literal['user', 'model']
timestamp: str
content: str
def to_chat_message(m: ModelMessage) -> ChatMessage:
first_part = m.parts[0]
if isinstance(m, ModelRequest):
if isinstance(first_part, UserPromptPart):
return {
'role': 'user',
'timestamp': first_part.timestamp.isoformat(),
'content': first_part.content,
}
elif isinstance(m, ModelResponse):
if isinstance(first_part, TextPart):
return {
'role': 'model',
'timestamp': m.timestamp.isoformat(),
'content': first_part.content,
}
raise UnexpectedModelBehavior(f'Unexpected message type for chat app: {m}')
def to_ds_message(m: ModelMessage) -> ChatMessage:
if isinstance(m, ModelRequest):
first_part = m.parts[0]
if isinstance(first_part, UserPromptPart):
return {
'role': 'user',
'timestamp': first_part.timestamp.isoformat(),
'content': first_part.content,
}
elif isinstance(m, ModelResponse):
first_part = m.parts[0]
if isinstance(first_part, TextPart):
return {
'role': 'model',
'timestamp': m.timestamp.isoformat(),
'content': first_part.content,
}
raise UnexpectedModelBehavior(f'Unexpected ds-message type for chat app: {m}')
@app.post('/chat1/')
async def post_chat1(
prompt: Annotated[str, fastapi.Form()], database: Database = Depends(get_db)
) -> StreamingResponse:
async def stream_messages():
"""Streams new line delimited JSON `Message`s to the client."""
# stream the user prompt so that can be displayed straight away
yield (
json.dumps(
{
'role': 'user',
'timestamp': datetime.now(tz=timezone.utc).isoformat(),
'content': prompt,
}
).encode('utf-8')
+ b'\n'
)
# get the chat history so far to pass as context to the agent
messages = await database.get_messages()
# run the agent with the user prompt and the chat history
async with agent.run_stream(prompt, message_history=messages) as result:
async for text in result.stream(debounce_by=0.01):
# text here is a `str` and the frontend wants
# JSON encoded ModelResponse, so we create one
m = ModelResponse.from_text(content=text, timestamp=result.timestamp())
yield json.dumps(to_chat_message(m)).encode('utf-8') + b'\n'
# add new messages (e.g. the user prompt and the agent response in this case) to the database
#print("---",result.new_messages_json(),"---")
#print("***",prompt,"***")
#await database.add_messages(result.new_messages_json())
print("** selesai **")
return StreamingResponse(stream_messages(), media_type='text/plain')
@app.post('/chat/')
async def post_chat(
prompt: Annotated[str, fastapi.Form()], database: Database = Depends(get_db)
) -> StreamingResponse:
async def stream_messages():
"""Streams new line delimited JSON `Message`s to the client."""
# stream the user prompt so that can be displayed straight away
yield (
json.dumps(
{
'role': 'user',
'timestamp': datetime.now(tz=timezone.utc).isoformat(),
'content': prompt,
}
).encode('utf-8')
+ b'\n'
)
# get the chat history so far to pass as context to the agent
messages = await database.get_messages()
# run the agent with the user prompt and the chat history
async with agent.run_stream(prompt, message_history=messages) as result:
async for text in result.stream(debounce_by=0.01):
# text here is a `str` and the frontend wants
# JSON encoded ModelResponse, so we create one
m = ModelResponse.from_text(content=text, timestamp=result.timestamp())
yield json.dumps(to_chat_message(m)).encode('utf-8') + b'\n'
# add new messages (e.g. the user prompt and the agent response in this case) to the database
#print("---",result.new_messages_json(),"---")
#print("***",prompt,"***")
#await database.add_messages(result.new_messages_json())
async def ds_messages(prompt1):
try:
#prompt2=f"Ekstrak data Sales Order dari teks: {prompt1}. Hari ini adalah tanggal {date.today()}"
#prompt2=f"{prompt1}. Hari ini adalah tanggal {date.today()}"
prompt2=f"{prompt1}"
yield (
json.dumps(
{
'role': 'user',
'timestamp': datetime.now(tz=timezone.utc).isoformat(),
'content': prompt1,
}
).encode('utf-8')
+ b'\n'
)
#messages = await database.get_messages()
async with agent.run_stream(prompt2) as result:
async for text in result.stream(debounce_by=0.1):
m = ModelResponse.from_text(content=text, timestamp=result.timestamp())
yield json.dumps(to_ds_message(m)).encode('utf-8') + b'\n'
##print(result.usage())
await database.add_messages(result.new_messages_json())
return
darso = json.loads(result.new_messages_json())
#print(darso)
darso0= darso[0]
#darso0.pop(darso0['parts'][0])
#print("00|------------------")
#print("01|", darso0 )
#print("01a|", darso0['parts'][0] )
#print("01b|", darso0['parts'][1] )
darso0['parts'][0] = darso0['parts'][1]
#print("01?|", darso0 )
#print("01??|", darso )
#print("02|------------------")
darso1= darso[1]
#print("1|", darso1)
darso2= json.loads(json.dumps(darso1))
#print("2|",darso2['parts'][0])
darso3= darso2['parts'][0]
darso4= json.loads(json.dumps(darso3))
#print("4|",darso4['content'])
darso5= darso4['content']
darso5=darso5.split('```', 2)
darso5=darso5[1]
#print("5a|",darso5)
darso5=darso5.replace('json', '')
print("5|",darso5,"|")
try:
darso6= json.loads(darso5) #json
darso7= SalesOrder.model_validate(darso6)
except:
darso6= "ERR"
print("6|",darso6,"|")
if "ds_items" in darso5:
cek_str="ds_items"
else:
cek_str="--"
if darso6=="ERR":
ds_id = time.time()
ds_salesOrderId = "ERR"
ds_salesDate = 'ERR'
ds_customerName="-"
ds_customerAddress="-"
ds_productName1 = "Produk1 --- "
ds_quantity1 = 1
ds_unitPrice1 = 0
ds_itemAmt1 = 0
ds_productName2 = "Produk2 --- "
ds_quantity2 = 0
ds_unitPrice2 = 0
ds_itemAmt2 = 0
ds_productName3 = "Produk3 --- "
ds_quantity3 = 0
ds_unitPrice3 = 0
ds_itemAmt3 = 0
ds_shippingAddress=""
ds_shippingCost=0
ds_totalAmount=0
else:
ds_id = time.time()
ds_salesOrderId = "OK"
ds_salesDate = 'OK'
try:
ds_salesOrderId = darso7.ds_salesOrderId
print("7|ds_salesOrderId")
ds_salesDate = darso7.ds_salesDate
print("7|ds_salesDate")
ds_customerName=f"""{darso7.ds_customerName}"""
print("7|ds_customerName:",ds_customerName)
ds_customerAddress=f"""{darso7.ds_customerAddress}"""
print("7|ds_customerAddress:", len(darso7.ds_items))
ds_productName1 = darso7.ds_items[0].ds_productName
print("7|ds_productName1")
ds_quantity1 = darso7.ds_items[0].ds_quantity
print("7|ds_quantity1")
ds_unitPrice1 = darso7.ds_items[0].ds_unitPrice
print("7|ds_unitPrice1")
ds_itemAmt1 = darso7.ds_items[0].ds_itemAmt
print("7|ds_itemAmt1")
ds_productName2 = "-"
ds_quantity2 = 0
ds_unitPrice2 = 0
ds_itemAmt2 = 0
ds_productName3 = "-"
ds_quantity3 = 0
ds_unitPrice3 = 0
ds_itemAmt3 = 0
if len(darso7.ds_items)>1:
ds_productName2 = darso7.ds_items[1].ds_productName
ds_quantity2 = darso7.ds_items[1].ds_quantity
ds_unitPrice2 = darso7.ds_items[1].ds_unitPrice
ds_itemAmt2 = darso7.ds_items[1].ds_itemAmt
if len(darso7.ds_items)>2:
ds_productName3 = darso7.ds_items[2].ds_productName
ds_quantity3 = darso7.ds_items[2].ds_quantity
ds_unitPrice3 = darso7.ds_items[2].ds_unitPrice
ds_itemAmt3 = darso7.ds_items[2].ds_itemAmt
ds_shippingCost=darso7.ds_shippingCost
print("7|ds_shippingCost")
ds_shippingAddress=f"""{darso7.ds_shippingAddress}"""
print("7|ds_shippingAddress")
ds_totalAmount=darso7.ds_totalAmount
print("7|ds_totalAmount")
except:
ds_salesOrderId = "OK2"
ds_salesDate = 'OK2'
ds_customerName="-"
ds_customerAddress="-"
ds_productName1 = "Produk1"
ds_quantity1 = 0
ds_unitPrice1 = 0
ds_itemAmt1 = 0
ds_productName2 = "Produk2"
ds_quantity2 = 0
ds_unitPrice2 = 0
ds_itemAmt2 = 0
ds_productName3 = "Produk3"
ds_quantity3 = 0
ds_unitPrice3 = 0
ds_itemAmt3 = 0
ds_shippingAddress=""
ds_shippingCost=0
ds_totalAmount=0
formDs = f"""
<form id="myaiForm{ds_id}" action="javascript:abcde({ds_id});" class="form-container">
<h3>Pesanan</h3>
<table>
<tr>
<td><label for="ds_salesOrderId"><b>SO#</b></label><input type="text" placeholder="" name="ds_salesOrderId" value="{ds_salesOrderId}"></td>
<td><label for="ds_salesDate"><b>Date</b></label><input type="text" placeholder="" name="ds_salesDate" value="{ds_salesDate}"></td>
</tr>
<tr>
<td colspan="2"><label for="ds_customerName"><b>Customer</b></label><input type="text" placeholder="" name="ds_customerName" value="{ds_customerName}"></td>
</tr>
<tr>
<td colspan="2"><label for="ds_customerAddress"><b>Alamat</b></label><input type="text" placeholder="" name="ds_customerAddress" value="{ds_customerAddress}"></td>
</tr>
</table style="width:100%">
<b>Item Barang:</b>
<table>
<tr><th>Prod</th><th style="text-align: center;">Qty</th><th style="text-align: center;">Prc</th><th style="text-align: center;">Rp</th></tr>
<tr>
<td><input type="text" placeholder="-" name="ds_productName1" value="{ds_productName1}"></td>
<td><input type="text" style="text-align: center;" name="ds_quantity1" value={ds_quantity1}></td>
<td><input type="text" style="text-align: center;" name="ds_unitPrice1" value={ds_unitPrice1}></td>
<td><input type="text" style="text-align: center;" name="ds_itemAmt1" value={ds_itemAmt1}></td>
</tr>
<tr>
<td><input type="text" placeholder="-" name="ds_productName2" value="{ds_productName2}"></td>
<td><input type="text" style="text-align: center;" name="ds_quantity2" value={ds_quantity2}></td>
<td><input type="text" style="text-align: center;" name="ds_unitPrice2" value={ds_unitPrice2}></td>
<td><input type="text" style="text-align: center;" name="ds_itemAmt2" value={ds_itemAmt2}></td>
</tr>
<tr>
<td><input type="text" placeholder="-" name="ds_productName3" value="{ds_productName3}"></td>
<td><input type="text" style="text-align: center;" name="ds_quantity3" value={ds_quantity3}></td>
<td><input type="text" style="text-align: center;" name="ds_unitPrice3" value={ds_unitPrice3}></td>
<td><input type="text" style="text-align: center;" name="ds_itemAmt3" value={ds_itemAmt3}></td>
</tr>
</table>
<table>
<tr>
<td style="text-align: center;"><b>Ongkir</b></td>
<td style="text-align: center;"><b>Total</b></td>
</tr>
<tr>
<td><input type="text" style="text-align: center;" placeholder="0" name="ds_shippingCost" value={ds_shippingCost}></td>
<td><input type="text" style="text-align: center;" placeholder="0" name="ds_totalAmount" value={ds_totalAmount}></td>
</tr>
<tr>
<td colspan="2"><label for="ds_shippingAddress"><b></b></label><input type="text" placeholder="" name="ds_shippingAddress" value="{ds_shippingAddress}"></td>
</tr>
</table>
<button type="submit" class="btn">Submit</button>
<button type="button" class="btn cancel" onclick="closeAiForm({ds_id})">Close</button>
</form>
<form id="myaiForm2{ds_id}" class="form-container" style="display:none;">
<button type="button" class="btn umum" onclick="openAiForm({ds_id})">Open Form</button>
</form>
"""
m = ModelResponse.from_text(content=formDs, timestamp=result.timestamp())
yield json.dumps(to_ds_message(m)).encode('utf-8') + b'\n'
print("OK:")
#await database.add_messages(result.new_messages_json())
await database.add_messages(json.dumps(darso))
##print(len(items))
#darso7 = SalesOrder.model_validate(darso6)
#print("[--",darso7.ds_customerName,"--]")
#darso8 = darso7.ds_items[0]
##, len(darso7.ds_items)
#print("[--",darso8.ds_productName,"--]")
except ValueError as e:
print(e)
if prompt[0] == "@" :
#print("@@@", prompt, "@@@")
nn = len(prompt)
prompt = prompt[1:nn]
print(">>>", prompt, "<<<")
return StreamingResponse(ds_messages(prompt), media_type='text/plain')
elif prompt[0] != "@" :
#print("biasa")
return StreamingResponse(stream_messages(), media_type='text/plain')
print("** selesai **")
return StreamingResponse(stream_messages(), media_type='text/plain')
P = ParamSpec('P')
R = TypeVar('R')
@dataclass
class Database:
"""Rudimentary database to store chat messages in SQLite.
The SQLite standard library package is synchronous, so we
use a thread pool executor to run queries asynchronously.
"""
con: sqlite3.Connection
_loop: asyncio.AbstractEventLoop
_executor: ThreadPoolExecutor
@classmethod
@asynccontextmanager
async def connect(
cls, file: Path = THIS_DIR / '.chat_messages.sqlite'
) -> AsyncIterator[Database]:
with logfire.span('connect to DB'):
loop = asyncio.get_event_loop()
executor = ThreadPoolExecutor(max_workers=1)
con = await loop.run_in_executor(executor, cls._connect, file)
slf = cls(con, loop, executor)
try:
yield slf
finally:
await slf._asyncify(con.close)
@staticmethod
def _connect(file: Path) -> sqlite3.Connection:
con = sqlite3.connect(str(file))
con = logfire.instrument_sqlite3(con)
cur = con.cursor()
cur.execute(
'CREATE TABLE IF NOT EXISTS messages (id INT PRIMARY KEY, message_list TEXT);'
)
con.commit()
return con
async def add_messages(self, messages: bytes):
await self._asyncify(
self._execute,
'INSERT INTO messages (message_list) VALUES (?);',
messages,
commit=True,
)
await self._asyncify(self.con.commit)
async def get_messages(self) -> list[ModelMessage]:
c = await self._asyncify(
self._execute, 'SELECT message_list FROM messages order by id asc'
)
rows = await self._asyncify(c.fetchall)
messages: list[ModelMessage] = []
for row in rows:
messages.extend(ModelMessagesTypeAdapter.validate_json(row[0]))
return messages
def _execute(
self, sql: LiteralString, *args: Any, commit: bool = False
) -> sqlite3.Cursor:
cur = self.con.cursor()
cur.execute(sql, args)
if commit:
self.con.commit()
return cur
async def _asyncify(
self, func: Callable[P, R], *args: P.args, **kwargs: P.kwargs
) -> R:
return await self._loop.run_in_executor( # type: ignore
self._executor,
partial(func, **kwargs),
*args, # type: ignore
)
if __name__ == '__main__':
import uvicorn
uvicorn.run(
'app:app', reload=True, host="0.0.0.0", port=7860, reload_dirs=[str(THIS_DIR)]
)