Redmind commited on
Commit
b2c97f3
·
verified ·
1 Parent(s): d15bbb3

Update app.py

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Files changed (1) hide show
  1. app.py +28 -28
app.py CHANGED
@@ -137,7 +137,7 @@ def run_query(query):
137
  def database_tool(question):
138
  # print(question)
139
  sql_query = generate_sql_query(question)
140
- print(sql_query)
141
  return run_query(sql_query)
142
 
143
 
@@ -145,8 +145,8 @@ def get_ASN_data(question):
145
  # print(question)
146
  base_url = os.getenv("ASN_API_URL")
147
  complete_url = f"{base_url}branchMaster.id=343&transactionUid={question}&userId=164&transactionType=ASN"
148
- print("complete url")
149
- print(complete_url)
150
  try:
151
  response = requests.get(complete_url)
152
  data = response.json()
@@ -239,8 +239,8 @@ def document_data_tool(question):
239
  print(f"Document data tool enter: {question}")
240
  # query_string = question['tags'][0] if 'tags' in question and question['tags'] else ""
241
  query_response = query_vector_store(vector_store, question, config={"callbacks": [langfuse_handler]})
242
- print("query****")
243
- print(query_response)
244
  # summarized_response = summarize_document(query_response)
245
  # print("summary***")
246
  # print(summarized_response)
@@ -249,10 +249,10 @@ def document_data_tool(question):
249
 
250
  def send_email_with_attachment(recipient_email, subject, body, image_data):
251
  try:
252
- print(recipient_email)
253
- print(subject)
254
- print(body)
255
- print(image_data)
256
  sender_email = os.getenv("EMAIL_SENDER")
257
  sender_password = os.getenv("EMAIL_PASSWORD")
258
 
@@ -267,7 +267,7 @@ def send_email_with_attachment(recipient_email, subject, body, image_data):
267
  """
268
  # Open the file to be sent
269
  attachment = open(attachment_path, "rb")
270
- print("Attached the image")
271
  # Instance of MIMEBase and named as p
272
  part = MIMEBase('application', 'octet-stream')
273
 
@@ -304,7 +304,7 @@ def send_email_with_attachment(recipient_email, subject, body, image_data):
304
  server.sendmail(sender_email, recipient_email, text)
305
  server.quit()
306
 
307
- except error:
308
  print(error)
309
 
310
  # return 1
@@ -327,7 +327,7 @@ def make_api_request(url, params):
327
 
328
 
329
  def inventory_report(question):
330
- print(question)
331
 
332
 
333
 
@@ -341,15 +341,15 @@ def inventory_report(question):
341
  else:
342
  return "warehouse name not found"
343
 
344
- print(apis[0]["url"])
345
- print(apis[0]["params"])
346
  data = make_api_request(apis[0]["url"], apis[0]["params"])
347
- print(warehouse_name)
348
  if data:
349
- print(data)
350
  # Extracting the id for the warehouse with the name "WH"
351
  warehouse_id = next((item['id'] for item in data['result'] if item['name'] == warehouse_name), None)
352
- print(warehouse_id)
353
  if warehouse_id is None:
354
  return "Please provide a warehouse name available in the database."
355
  # print(f"The id for the warehouse named {name} is: {warehouse_id}")
@@ -518,7 +518,7 @@ def answer_question(user_question, chatbot, audio=None):
518
  user_question = "Could not request results from Google Speech Recognition service."
519
 
520
  while iterations < max_iterations:
521
- print(user_question)
522
  """if "send email to" in user_question:
523
  email_match = re.search(r"send email to ([\w\.-]+@[\w\.-]+)", user_question)
524
  if email_match:
@@ -528,8 +528,8 @@ def answer_question(user_question, chatbot, audio=None):
528
  """
529
 
530
  response = agent_executor.invoke({"input": user_question}, config={"callbacks": [langfuse_handler]})
531
- print("name")
532
- print(warehouse_name)
533
  if isinstance(response, dict):
534
  response_text = response.get("output", "")
535
  else:
@@ -537,10 +537,10 @@ def answer_question(user_question, chatbot, audio=None):
537
  if "invalid" not in response_text.lower():
538
  break
539
  iterations += 1
540
- print(os.getenv("IMAGE_PATH"))
541
- print(response_text)
542
- print("validating. ")
543
- print(os.getenv("IMAGE_PATH") in response_text)
544
  if iterations == max_iterations:
545
  return "The agent could not generate a valid response within the iteration limit."
546
 
@@ -548,12 +548,12 @@ def answer_question(user_question, chatbot, audio=None):
548
  if os.getenv("IMAGE_PATH") in response_text:
549
  # Open the image file
550
  img = Image.open(os.getenv("IMAGE_PATH"))
551
- print(img)
552
  # Convert the PIL Image to a base64 encoded string
553
  buffered = BytesIO()
554
  img.save(buffered, format="PNG")
555
  img_str = base64.b64encode(buffered.getvalue()).decode("utf-8")
556
- print(img_str)
557
  img = f'<img src="data:image/png;base64,{img_str}" style="width:500px; height:400px;">'
558
  # image = gr.Image(value=img_str)
559
  chatbot.append((user_question, img))
@@ -562,8 +562,8 @@ def answer_question(user_question, chatbot, audio=None):
562
  match = re.search(email_pattern, user_question)
563
  if match:
564
  user_email = match.group() # Return the matched email
565
- print("user_email")
566
- print(user_email)
567
  # email send
568
  if user_email:
569
  # Send email with the chart image attached
 
137
  def database_tool(question):
138
  # print(question)
139
  sql_query = generate_sql_query(question)
140
+ #print(sql_query)
141
  return run_query(sql_query)
142
 
143
 
 
145
  # print(question)
146
  base_url = os.getenv("ASN_API_URL")
147
  complete_url = f"{base_url}branchMaster.id=343&transactionUid={question}&userId=164&transactionType=ASN"
148
+ #print("complete url")
149
+ #print(complete_url)
150
  try:
151
  response = requests.get(complete_url)
152
  data = response.json()
 
239
  print(f"Document data tool enter: {question}")
240
  # query_string = question['tags'][0] if 'tags' in question and question['tags'] else ""
241
  query_response = query_vector_store(vector_store, question, config={"callbacks": [langfuse_handler]})
242
+ #print("query****")
243
+ #print(query_response)
244
  # summarized_response = summarize_document(query_response)
245
  # print("summary***")
246
  # print(summarized_response)
 
249
 
250
  def send_email_with_attachment(recipient_email, subject, body, image_data):
251
  try:
252
+ #print(recipient_email)
253
+ #print(subject)
254
+ #print(body)
255
+ #print(image_data)
256
  sender_email = os.getenv("EMAIL_SENDER")
257
  sender_password = os.getenv("EMAIL_PASSWORD")
258
 
 
267
  """
268
  # Open the file to be sent
269
  attachment = open(attachment_path, "rb")
270
+ #print("Attached the image")
271
  # Instance of MIMEBase and named as p
272
  part = MIMEBase('application', 'octet-stream')
273
 
 
304
  server.sendmail(sender_email, recipient_email, text)
305
  server.quit()
306
 
307
+ except Exception as error:
308
  print(error)
309
 
310
  # return 1
 
327
 
328
 
329
  def inventory_report(question):
330
+ #print(question)
331
 
332
 
333
 
 
341
  else:
342
  return "warehouse name not found"
343
 
344
+ #print(apis[0]["url"])
345
+ #print(apis[0]["params"])
346
  data = make_api_request(apis[0]["url"], apis[0]["params"])
347
+ #print(warehouse_name)
348
  if data:
349
+ #print(data)
350
  # Extracting the id for the warehouse with the name "WH"
351
  warehouse_id = next((item['id'] for item in data['result'] if item['name'] == warehouse_name), None)
352
+ #print(warehouse_id)
353
  if warehouse_id is None:
354
  return "Please provide a warehouse name available in the database."
355
  # print(f"The id for the warehouse named {name} is: {warehouse_id}")
 
518
  user_question = "Could not request results from Google Speech Recognition service."
519
 
520
  while iterations < max_iterations:
521
+ #print(user_question)
522
  """if "send email to" in user_question:
523
  email_match = re.search(r"send email to ([\w\.-]+@[\w\.-]+)", user_question)
524
  if email_match:
 
528
  """
529
 
530
  response = agent_executor.invoke({"input": user_question}, config={"callbacks": [langfuse_handler]})
531
+ #print("name")
532
+ #print(warehouse_name)
533
  if isinstance(response, dict):
534
  response_text = response.get("output", "")
535
  else:
 
537
  if "invalid" not in response_text.lower():
538
  break
539
  iterations += 1
540
+ #print(os.getenv("IMAGE_PATH"))
541
+ #print(response_text)
542
+ #print("validating. ")
543
+ #print(os.getenv("IMAGE_PATH") in response_text)
544
  if iterations == max_iterations:
545
  return "The agent could not generate a valid response within the iteration limit."
546
 
 
548
  if os.getenv("IMAGE_PATH") in response_text:
549
  # Open the image file
550
  img = Image.open(os.getenv("IMAGE_PATH"))
551
+ #print(img)
552
  # Convert the PIL Image to a base64 encoded string
553
  buffered = BytesIO()
554
  img.save(buffered, format="PNG")
555
  img_str = base64.b64encode(buffered.getvalue()).decode("utf-8")
556
+ #print(img_str)
557
  img = f'<img src="data:image/png;base64,{img_str}" style="width:500px; height:400px;">'
558
  # image = gr.Image(value=img_str)
559
  chatbot.append((user_question, img))
 
562
  match = re.search(email_pattern, user_question)
563
  if match:
564
  user_email = match.group() # Return the matched email
565
+ #print("user_email")
566
+ #print(user_email)
567
  # email send
568
  if user_email:
569
  # Send email with the chart image attached