Test exxeta gpt

prototypes/exxeta/index.py

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+from openai import AzureOpenAI
+from dotenv import load_dotenv
+import os
+import pymupdf
+
+load_dotenv()
+
+BASE_URL = "https://ai.exxeta.com/api/v2/azure/openai"
+API_KEY = os.getenv("API_KEY")
+
+client = AzureOpenAI(
+    api_key=API_KEY,
+    api_version="2023-07-01-preview",
+        base_url=BASE_URL
+    )
+def extract_text_from_pdf(file_path):
+    """Extract text content from a PDF file using PyMuPDF (fitz)."""
+    all_text = ""
+    # Open the PDF file
+    doc = pymupdf.open(file_path)
+
+    # Print number of pages
+    print(f"PDF has {len(doc)} pages")
+
+    # Extract and print text from each page
+    for page_num in range(len(doc)):
+        page = doc[page_num]
+        text = page.get_text()
+
+        # Print page number and content
+        print(text)
+
+        all_text += "[Page " + str(page_num + 1) + "]\n" + text + "\n\n"
+
+    return all_text
+
+
+file_path = "../../pitch-books/Pitchbook 1.pdf"
+pdf_text = extract_text_from_pdf(file_path)
+
+response = client.chat.completions.create(
+        messages=[
+            {
+                "role": "system",
+                "content": "Always respond with a valid JSON object"
+            },
+            {
+                "role": "user",
+                "content": """extract the values from the text. let not found values empty:
+                -Fondsname
+                -Fondsmanager
+                -Name Kapitalverwaltungsgesellschaft
+                -Datum
+                -Risikoprofil
+                -Artikel gem. SFDR
+                -Ziel
+                -Zielrendite über die Fondslaufzeit
+                -Rendite seit Auflage
+                -Zielausschüttungsrendite über die Fondslaufzeit
+                -Ausschüttungsrendite seit Auflage
+                -Laufzeit
+                -LTV (Loan-to-Value)
+                -Soll/Ist
+                -Ziel
+                -Managementgebühren Bezogen auf NAV (Net Asset Value)
+                -Sektorenallokation
+                -Länderallokation
+                for each value return:
+                    - the Key
+                    - the Value
+                    - the page where this value was found
+                    - a confidence score, how confident the model is about the value (low, medium, high)
+
+                Here ist the text:""" + pdf_text
+            }
+        ],
+        model="gpt-4o-mini",
+        response_format={"type": "json_object"}
+        # temperature=0.7,
+        # top_p=0.95,
+        # frequency_penalty=0,
+        # presence_penalty=0,
+        # max_tokens=800,
+        # stop="",
+        # stream=False
+    )
+
+
+
+print(response.choices[0].message.content)

prototypes/exxeta/requirements.txt

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+acres==0.3.0
+annotated-types==0.7.0
+anyio==4.9.0
+certifi==2025.1.31
+charset-normalizer==3.4.1
+ci-info==0.3.0
+click==8.1.8
+configobj==5.0.9
+configparser==7.2.0
+distro==1.9.0
+etelemetry==0.3.1
+filelock==3.18.0
+h11==0.14.0
+httpcore==1.0.8
+httplib2==0.22.0
+httpx==0.28.1
+idna==3.10
+isodate==0.6.1
+jiter==0.9.0
+looseversion==1.3.0
+lxml==5.4.0
+networkx==3.4.2
+nibabel==5.3.2
+nipype==1.10.0
+numpy==2.2.5
+openai==1.75.0
+packaging==25.0
+pandas==2.2.3
+pathlib==1.0.1
+prov==2.0.1
+puremagic==1.28
+pydantic==2.11.3
+pydantic_core==2.33.1
+pydot==3.0.4
+PyMuPDF==1.25.5
+pyparsing==3.2.3
+python-dateutil==2.9.0.post0
+python-dotenv==1.1.0
+pytz==2025.2
+pyxnat==1.6.3
+rdflib==6.3.2
+requests==2.32.3
+scipy==1.15.2
+simplejson==3.20.1
+six==1.17.0
+sniffio==1.3.1
+tqdm==4.67.1
+traits==7.0.2
+typing-inspection==0.4.0
+typing_extensions==4.13.2
+tzdata==2025.2
+urllib3==2.4.0