Update feature

app.py

@@ -1,20 +1,22 @@
 import streamlit as st
 from streamlit_js_eval import streamlit_js_eval
 from azure.storage.blob import BlobServiceClient
+from azure.cosmos import CosmosClient, exceptions
 import json
 import os
 import uuid
+import time
+import calendar
 
 connection_string = os.getenv("CONNECTION")
 blob_service_client = BlobServiceClient.from_connection_string(connection_string)
 
 
-def upload_blob(pdf_name, json_data, pdf_data_jobdescription,pdf_data_cv):
+def upload_blob(pdf_name, json_data, pdf_data_jobdescription,pdf_data_cvs):
     try:
         container_name = "jobdescriptions"
         json_blob_name = f"{pdf_name}_jsondata.json"
         pdf_blob_name_jobdescription = f"{pdf_name}.pdf"
-        pdf_blob_name_cv = f"{pdf_name}_resume.pdf"
 
         container_client = blob_service_client.get_container_client(container_name)
 
@@ -24,101 +26,142 @@ def upload_blob(pdf_name, json_data, pdf_data_jobdescription,pdf_data_cv):
         pdf_blob_client = container_client.get_blob_client(pdf_blob_name_jobdescription)
         pdf_blob_client.upload_blob(pdf_data_jobdescription, overwrite=True)
 
-        pdf_blob_client = container_client.get_blob_client(pdf_blob_name_cv)
-        pdf_blob_client.upload_blob(pdf_data_cv, overwrite=True)
-
-        link = "https://tensora.ai/workgenius/cv-evaluation2/?job="+pdf_name
+        links = []
+        names = []
+        for i,cv in enumerate(pdf_data_cvs):
+            cv_nr_for_id = i+1
+            cv_session_state_string = "cv-"+str(cv_nr_for_id)
+            session_state_name = st.session_state[cv_session_state_string]
+            names.append(session_state_name)
+            cv_id = pdf_name + "-cv-nr-" + str(cv_nr_for_id)+str(calendar.timegm(time.gmtime()))
+            upload_db_item(session_state_name, json.loads(json_data), pdf_name, cv_id)
+            pdf_blob_name_cv = f"{cv_id}.pdf"
+            pdf_blob_client = container_client.get_blob_client(pdf_blob_name_cv)
+            pdf_blob_client.upload_blob(pdf_data_cvs[i], overwrite=True)
+            links.append("https://tensora.ai/workgenius/cv-evaluation2/?job="+cv_id)
 
         st.success('Data and PDF files have been successfully uploaded. The link to the chatbot for the potential candidate is the following: ')
-        st.write(link)
+        for i,link in enumerate(links):
+            st.write("Link for the candidate "+names[i]+": ")
+            st.write(link)
 
         return True
     except Exception as e:
         print(f"Fehler beim Hochladen der Daten: {str(e)}")
         return False
 
-        
-
-def test(text_val):
-    print(text_val)
-
-if 'questions' not in st.session_state:
-    st.session_state.questions = []
-
-def main():
-    st.markdown(
-    """
-    <style>
-        [data-testid=column]{
-            text-align: center;
-            display: flex;
-            align-items: center;
-            justify-content: center;
-        }
-    </style>
-    """,
-        unsafe_allow_html=True,
-    )
-    col1, col2 = st.columns([2, 1])
-
-
-    col1.title("Job description upload")
-    col2.image("https://www.workgenius.com/wp-content/uploads/2023/03/WorkGenius_navy-1.svg")
-
-    st.write("Please upload the job description and resume as PDF and enter the job title for the position. To receive the evaluation of the potential candidate, please provide your email address.")
-    upload_success = True
-    with st.form("job_inputs",clear_on_submit=True):
-        uploaded_file_jobdescription = st.file_uploader("Upload the job description:", type=["pdf"])
-        uploaded_file_cv = st.file_uploader("Upload the resume:", type=["pdf"])
-
-        job_title = st.text_input("Enter the job title:")
-        email = st.text_input("Enter the email:")
-        with st.expander("Enter up to three predefined questions if needed. Otherwise leave it blank:"):
+def upload_db_item(name, data, job_description_id, cv_id):
+
+    endpoint = "https://wg-candidate-data.documents.azure.com:443/"
+    key = os.getenv("CONNECTION_DB")
+    client = CosmosClient(endpoint, key)
+    database = client.get_database_client("ToDoList")
+    container = database.get_container_client("Items")
+    candidate_item = {
+        "id": cv_id,
+        'partitionKey' : 'wg-candidate-data-v1',
+        "name": name,
+        "title": data["title"],
+        "interview_conducted": False,
+        "ai_summary": "",
+        "evaluation_email": data["email"],
+        "question_one": data["question_one"],
+        "question_two": data["question_two"],
+        "question_three": data["question_three"],
+        "job_description_id": job_description_id,
+    }
+
+    try:
+        # Fügen Sie das Element in den Container ein
+        container.create_item(body=candidate_item)
+        print("Eintrag erfolgreich in die Cosmos DB eingefügt.")
+    except exceptions.CosmosHttpResponseError as e:
+        print(f"Fehler beim Schreiben in die Cosmos DB: {str(e)}")
+    except Exception as e:
+        print(f"Allgemeiner Fehler: {str(e)}")
+
+# def clear_states():
+#     if len(st.session_state.title) > 0 and len(st.session_state.mail) > 0 and st.session_state.job and len(st.session_state.cvs)>0:
+#         st.session_state.title = ""
+#         st.session_state.mail = ""
+#         # st.session_state.job = None
+#         st.session_state.cvs = []
+
+st.markdown(
+"""
+<style>
+    [data-testid=column]{
+        text-align: center;
+        display: flex;
+        align-items: center;
+        justify-content: center;
+    }
+</style>
+""",
+    unsafe_allow_html=True,
+)
+col1, col2 = st.columns([2, 1])
+
+
+col1.title("Job description upload")
+col2.image("https://www.workgenius.com/wp-content/uploads/2023/03/WorkGenius_navy-1.svg")
+
+st.write("Please upload the job description and resume(s) as PDF and enter the job title for the position. To receive the evaluation of the potential candidate(s), please provide your email address.")
+upload_success = True    
+with st.container():
+    uploaded_file_jobdescription = st.file_uploader("Upload the job description:", type=["pdf"], key="job")
+    job_title = st.text_input("Enter the job title:", key="title")
+    email = st.text_input("Enter the email:" , key="mail")
+    uploaded_file_cvs = st.file_uploader("Upload the resume(s):", type=["pdf"],accept_multiple_files=True,  key="cvs")
+    for i,cv in enumerate(st.session_state["cvs"]):
+        st.text_input(label="Enter the name of the "+str(i+1)+". CV", value=cv.name,key="cv-"+str(i+1))
+    with st.expander("Enter up to three predefined questions if needed. Otherwise leave it blank:"):
             question_one = st.text_input("Enter the first question:")
             question_two = st.text_input("Enter the second question:")
             question_three = st.text_input("Enter the third question:")
-
-        submitted = st.form_submit_button("Submit")
-        if submitted:
-            if len(job_title) > 0 and len(email) > 0 and uploaded_file_jobdescription and uploaded_file_cv:
-                data = {
-                    "title": job_title,
-                    "email": email,
-                    "question_one": "",
-                    "question_two": "",
-                    "question_three": "",
-                }
-                if question_one:
-                    data["question_one"] = question_one
-                if question_two:
-                    data["question_two"] = question_two
-                if question_three:
-                    data["question_three"] = question_three
+    col_submit_btn, col_empty, col_clear_btn = st.columns([1,4, 1])
+    if col_clear_btn.button("Clear " ,use_container_width=True):
+        streamlit_js_eval(js_expressions="parent.window.location.reload()")
+    if col_submit_btn.button("Submit", use_container_width=True):
+        if len(job_title) > 0 and len(email) > 0 and uploaded_file_jobdescription and len(uploaded_file_cvs)>0:
+            data = {
+                "title": job_title,
+                "email": email,
+                "question_one": "",
+                "question_two": "",
+                "question_three": "",
+            }
+            if question_one:
+                data["question_one"] = question_one
+            if question_two:
+                data["question_two"] = question_two
+            if question_three:
+                data["question_three"] = question_three
                 
-                json_data = json.dumps(data, ensure_ascii=False)
+            json_data = json.dumps(data, ensure_ascii=False)
 
-                # Eine zufällige UUID generieren
-                random_uuid = uuid.uuid4()
+            # Eine zufällige UUID generieren
+            random_uuid = uuid.uuid4()
 
-                # Die UUID als String darstellen
-                uuid_string = str(random_uuid)
+            # Die UUID als String darstellen
+            uuid_string = str(random_uuid)
 
-                pdf_name = uuid_string
+            pdf_name = uuid_string
 
-                pdf_data_jobdescription = uploaded_file_jobdescription.read()
-                pdf_data_cv = uploaded_file_cv.read()
+            pdf_data_jobdescription = uploaded_file_jobdescription.read()
+            pdf_data_cvs = []
+            for i,cv in enumerate(st.session_state["cvs"]):
+                pdf_data_cvs.append(cv.read())
+            # pdf_data_cv = uploaded_file_cv.read()
 
-                upload_success = upload_blob(pdf_name, json_data, pdf_data_jobdescription,pdf_data_cv)
-            else:
-                st.write("Please fill out both fields and upload a PDF file.")
+            upload_success = upload_blob(pdf_name, json_data, pdf_data_jobdescription,pdf_data_cvs)
+        else:
+            st.write("Please fill out both fields and upload a PDF file.")
 
 
-    if not upload_success:
-        st.error('An error has occurred. Please contact the administrator. Sorry for the inconvenience.', icon="🚨")
-    else:
-        col_empty, col_btn = st.columns([5, 1])
-        if col_btn.button("Clear" ,key="clear_btn",use_container_width=True):
-            streamlit_js_eval(js_expressions="parent.window.location.reload()")
-            
-if __name__ == "__main__":
-    main()
+if not upload_success:
+    st.error('An error has occurred. Please contact the administrator. Sorry for the inconvenience.', icon="🚨")
+# else:
+#     col_submit_btn, col_empty, col_clear_btn = st.columns([1,4, 1])
+#     if col_clear_btn.button("Clear" ,use_container_width=True):
+#         streamlit_js_eval(js_expressions="parent.window.location.reload()")