Infrastructure: Implement master/dev/vX branching, save git path, and fix username casing

This commit is contained in:
Daniel Bedeleanu
2026-04-10 21:51:22 +03:00
parent 93edcc261b
commit 8a3783c7e9
3397 changed files with 57402 additions and 98 deletions

0
backend/ai/__init__.py Normal file
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47
backend/ai/claude.py Normal file
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import os
import anthropic
import json
import base64
def extract(image_bytes: bytes, prompt: str):
api_key = os.environ.get("CLAUDE_API_KEY")
if not api_key:
return None
client = anthropic.Anthropic(api_key=api_key)
base64_image = base64.b64encode(image_bytes).decode('utf-8')
# 2026 Target models
models_to_try = ["claude-3-5-haiku-latest", "claude-3-5-sonnet-latest"]
for model_name in models_to_try:
try:
print(f"Claude Attempt: {model_name}")
message = client.messages.create(
model=model_name,
max_tokens=1024,
messages=[{
"role": "user",
"content": [
{
"type": "image",
"source": {
"type": "base64",
"media_type": "image/jpeg",
"data": base64_image,
},
},
{"type": "text", "text": prompt}
],
}]
)
text = message.content[0].text.strip()
if "```json" in text:
text = text.split("```json")[1].split("```")[0].strip()
return json.loads(text)
except Exception as e:
print(f"Claude {model_name} failed: {e}")
continue
return None

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backend/ai/gemini.py Normal file
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import os
import json
import io
from PIL import Image
from google import genai
from google.genai import types
def get_best_models():
# Using the exact models discovered via diagnostic
return ["gemini-2.0-flash", "gemini-2.5-flash"]
def extract(image_bytes: bytes, prompt: str):
api_key = os.environ.get("GEMINI_API_KEY")
if not api_key:
print("CRITICAL: GEMINI_API_KEY is MISSING in environment!")
return None
# Log partial key for safety debug
key_hint = f"{api_key[:4]}...{api_key[-4:]}" if len(api_key) > 8 else "too short"
print(f"🔑 Using API Key: {key_hint}")
try:
# Initialize the NEW SDK Client forcing stable v1 API
client = genai.Client(api_key=api_key, http_options={'api_version': 'v1'})
# DEBUG: List allowed models for this key
print("🔍 Checking available models for your key...")
try:
for m in client.models.list():
print(f" - Found: {m.name}")
except Exception as list_e:
print(f" ⚠️ Could not list models: {list_e}")
models_to_try = get_best_models()
# Try models in order
for model_name in models_to_try:
try:
print(f"🚀 AI Launching (v2 SDK): {model_name}...")
# In the new SDK, we pass a list of parts (text string and image bytes)
response = client.models.generate_content(
model=model_name,
contents=[
prompt,
types.Part.from_bytes(data=image_bytes, mime_type="image/jpeg")
]
)
if not response or not response.text:
continue
text = response.text.strip()
print(f"✅ AI Response Received ({len(text)} bytes)")
# Extract JSON block
if "```json" in text:
text = text.split("```json")[1].split("```")[0].strip()
elif "```" in text:
text = text.split("```")[1].strip()
return json.loads(text)
except Exception as e:
print(f"❌ Gemini {model_name} failed: {e}")
continue
except Exception as outer_e:
print(f"❌ Gemini Client Init failed: {outer_e}")
return None