AI Image and Audio Generation Improvements.

AI Video Generation Pre-Flight Checklist. Cost Estimate Improvements.
This commit is contained in:
ajaysi
2025-12-25 16:26:08 +05:30
parent 59913bffa9
commit 7512933c65
163 changed files with 8938 additions and 37401 deletions

View File

@@ -140,6 +140,10 @@ def generate_audio(
# Avoid passing duplicate enable_sync_mode; allow override via kwargs
enable_sync_mode = kwargs.pop("enable_sync_mode", True)
# Filter out None values from kwargs to prevent WaveSpeed validation errors
filtered_kwargs = {k: v for k, v in kwargs.items() if v is not None}
logger.info(f"[audio_gen] Filtered kwargs (removed None values): {filtered_kwargs}")
client = WaveSpeedClient()
audio_bytes = client.generate_speech(
text=text,
@@ -149,7 +153,7 @@ def generate_audio(
pitch=pitch,
emotion=emotion,
enable_sync_mode=enable_sync_mode,
**kwargs
**filtered_kwargs
)
logger.info(f"[audio_gen] ✅ API call successful, generated {len(audio_bytes)} bytes")

View File

@@ -1,6 +1,8 @@
from __future__ import annotations
import os
import sys
from datetime import datetime
from typing import Optional, Dict, Any
from .image_generation import (
@@ -110,6 +112,367 @@ def generate_image(prompt: str, options: Optional[Dict[str, Any]] = None, user_i
logger.info("Generating image via provider=%s model=%s", provider_name, image_options.model)
provider = _get_provider(provider_name)
return provider.generate(image_options)
result = provider.generate(image_options)
# TRACK USAGE after successful API call
has_image_bytes = bool(result.image_bytes) if result else False
image_bytes_len = len(result.image_bytes) if (result and result.image_bytes) else 0
logger.info(f"[Image Generation] Checking tracking conditions: user_id={user_id}, has_result={bool(result)}, has_image_bytes={has_image_bytes}, image_bytes_len={image_bytes_len}")
if user_id and result and result.image_bytes:
logger.info(f"[Image Generation] ✅ API call successful, tracking usage for user {user_id}")
try:
from services.database import get_db as get_db_track
db_track = next(get_db_track())
try:
from models.subscription_models import UsageSummary, APIUsageLog, APIProvider
from services.subscription import PricingService
pricing = PricingService(db_track)
current_period = pricing.get_current_billing_period(user_id) or datetime.now().strftime("%Y-%m")
# Get or create usage summary
summary = db_track.query(UsageSummary).filter(
UsageSummary.user_id == user_id,
UsageSummary.billing_period == current_period
).first()
if not summary:
summary = UsageSummary(
user_id=user_id,
billing_period=current_period
)
db_track.add(summary)
db_track.flush()
# Get cost from result metadata or calculate
estimated_cost = 0.0
if result.metadata and "estimated_cost" in result.metadata:
estimated_cost = float(result.metadata["estimated_cost"])
else:
# Fallback: estimate based on provider/model
if provider_name == "wavespeed":
if result.model and "qwen" in result.model.lower():
estimated_cost = 0.05
else:
estimated_cost = 0.10 # ideogram-v3-turbo default
elif provider_name == "stability":
estimated_cost = 0.04
else:
estimated_cost = 0.05 # Default estimate
# Get current values before update
current_calls_before = getattr(summary, "stability_calls", 0) or 0
current_cost_before = getattr(summary, "stability_cost", 0.0) or 0.0
# Update image calls and cost
new_calls = current_calls_before + 1
new_cost = current_cost_before + estimated_cost
# Use direct SQL UPDATE for dynamic attributes
from sqlalchemy import text as sql_text
update_query = sql_text("""
UPDATE usage_summaries
SET stability_calls = :new_calls,
stability_cost = :new_cost
WHERE user_id = :user_id AND billing_period = :period
""")
db_track.execute(update_query, {
'new_calls': new_calls,
'new_cost': new_cost,
'user_id': user_id,
'period': current_period
})
# Update total cost
summary.total_cost = (summary.total_cost or 0.0) + estimated_cost
summary.total_calls = (summary.total_calls or 0) + 1
summary.updated_at = datetime.utcnow()
# Determine API provider based on actual provider
api_provider = APIProvider.STABILITY # Default for image generation
# Create usage log
usage_log = APIUsageLog(
user_id=user_id,
provider=api_provider,
endpoint="/image-generation",
method="POST",
model_used=result.model or "unknown",
tokens_input=0,
tokens_output=0,
tokens_total=0,
cost_input=0.0,
cost_output=0.0,
cost_total=estimated_cost,
response_time=0.0,
status_code=200,
request_size=len(prompt.encode("utf-8")),
response_size=len(result.image_bytes),
billing_period=current_period,
)
db_track.add(usage_log)
# Get plan details for unified log
limits = pricing.get_user_limits(user_id)
plan_name = limits.get('plan_name', 'unknown') if limits else 'unknown'
tier = limits.get('tier', 'unknown') if limits else 'unknown'
image_limit = limits['limits'].get("stability_calls", 0) if limits else 0
# Only show ∞ for Enterprise tier when limit is 0 (unlimited)
image_limit_display = image_limit if (image_limit > 0 or tier != 'enterprise') else ''
# Get related stats for unified log
current_audio_calls = getattr(summary, "audio_calls", 0) or 0
audio_limit = limits['limits'].get("audio_calls", 0) if limits else 0
current_image_edit_calls = getattr(summary, "image_edit_calls", 0) or 0
image_edit_limit = limits['limits'].get("image_edit_calls", 0) if limits else 0
current_video_calls = getattr(summary, "video_calls", 0) or 0
video_limit = limits['limits'].get("video_calls", 0) if limits else 0
db_track.commit()
logger.info(f"[Image Generation] ✅ Successfully tracked usage: user {user_id} -> image -> {new_calls} calls, ${estimated_cost:.4f}")
# UNIFIED SUBSCRIPTION LOG - Shows before/after state in one message
print(f"""
[SUBSCRIPTION] Image Generation
├─ User: {user_id}
├─ Plan: {plan_name} ({tier})
├─ Provider: {provider_name}
├─ Actual Provider: {provider_name}
├─ Model: {result.model or 'unknown'}
├─ Calls: {current_calls_before}{new_calls} / {image_limit_display}
├─ Cost: ${current_cost_before:.4f} → ${new_cost:.4f}
├─ Audio: {current_audio_calls} / {audio_limit if audio_limit > 0 else ''}
├─ Image Editing: {current_image_edit_calls} / {image_edit_limit if image_edit_limit > 0 else ''}
├─ Videos: {current_video_calls} / {video_limit if video_limit > 0 else ''}
└─ Status: ✅ Allowed & Tracked
""", flush=True)
sys.stdout.flush()
except Exception as track_error:
logger.error(f"[Image Generation] ❌ Error tracking usage (non-blocking): {track_error}", exc_info=True)
import traceback
logger.error(f"[Image Generation] Full traceback: {traceback.format_exc()}")
db_track.rollback()
finally:
db_track.close()
except Exception as usage_error:
logger.error(f"[Image Generation] ❌ Failed to track usage: {usage_error}", exc_info=True)
import traceback
logger.error(f"[Image Generation] Full traceback: {traceback.format_exc()}")
else:
logger.warning(f"[Image Generation] ⚠️ Skipping usage tracking: user_id={user_id}, image_bytes={len(result.image_bytes) if result.image_bytes else 0} bytes")
return result
def generate_character_image(
prompt: str,
reference_image_bytes: bytes,
user_id: Optional[str] = None,
style: str = "Realistic",
aspect_ratio: str = "16:9",
rendering_speed: str = "Quality",
timeout: Optional[int] = None,
) -> bytes:
"""Generate character-consistent image with pre-flight validation and usage tracking.
Uses Ideogram Character API via WaveSpeed to maintain character consistency.
Args:
prompt: Text prompt describing the scene/context for the character
reference_image_bytes: Reference image bytes (base avatar)
user_id: User ID for subscription checking (required)
style: Character style type ("Auto", "Fiction", or "Realistic")
aspect_ratio: Aspect ratio ("1:1", "16:9", "9:16", "4:3", "3:4")
rendering_speed: Rendering speed ("Default", "Turbo", "Quality")
timeout: Total timeout in seconds for submission + polling (default: 180)
Returns:
bytes: Generated image bytes with consistent character
"""
# PRE-FLIGHT VALIDATION: Validate image generation before API call
if user_id:
from services.database import get_db
from services.subscription import PricingService
from services.subscription.preflight_validator import validate_image_generation_operations
from fastapi import HTTPException
logger.info(f"[Character Image Generation] 🔍 Starting pre-flight validation for user_id={user_id}")
db = next(get_db())
try:
pricing_service = PricingService(db)
# Raises HTTPException immediately if validation fails
validate_image_generation_operations(
pricing_service=pricing_service,
user_id=user_id,
num_images=1,
)
logger.info(f"[Character Image Generation] ✅ Pre-flight validation passed for user_id={user_id} - proceeding with character image generation")
except HTTPException as http_ex:
# Re-raise immediately - don't proceed with API call
logger.error(f"[Character Image Generation] ❌ Pre-flight validation failed for user_id={user_id} - blocking API call: {http_ex.detail}")
raise
finally:
db.close()
else:
logger.warning(f"[Character Image Generation] ⚠️ No user_id provided - skipping pre-flight validation (this should not happen in production)")
# Generate character image via WaveSpeed
from services.wavespeed.client import WaveSpeedClient
from fastapi import HTTPException
try:
wavespeed_client = WaveSpeedClient()
image_bytes = wavespeed_client.generate_character_image(
prompt=prompt,
reference_image_bytes=reference_image_bytes,
style=style,
aspect_ratio=aspect_ratio,
rendering_speed=rendering_speed,
timeout=timeout,
)
# TRACK USAGE after successful API call
has_image_bytes = bool(image_bytes) if image_bytes else False
image_bytes_len = len(image_bytes) if image_bytes else 0
logger.info(f"[Character Image Generation] Checking tracking conditions: user_id={user_id}, has_image_bytes={has_image_bytes}, image_bytes_len={image_bytes_len}")
if user_id and image_bytes:
logger.info(f"[Character Image Generation] ✅ API call successful, tracking usage for user {user_id}")
try:
from services.database import get_db as get_db_track
db_track = next(get_db_track())
try:
from models.subscription_models import UsageSummary, APIUsageLog, APIProvider
from services.subscription import PricingService
pricing = PricingService(db_track)
current_period = pricing.get_current_billing_period(user_id) or datetime.now().strftime("%Y-%m")
# Get or create usage summary
summary = db_track.query(UsageSummary).filter(
UsageSummary.user_id == user_id,
UsageSummary.billing_period == current_period
).first()
if not summary:
summary = UsageSummary(
user_id=user_id,
billing_period=current_period
)
db_track.add(summary)
db_track.flush()
# Character image cost (same as ideogram-v3-turbo)
estimated_cost = 0.10
current_calls_before = getattr(summary, "stability_calls", 0) or 0
current_cost_before = getattr(summary, "stability_cost", 0.0) or 0.0
new_calls = current_calls_before + 1
new_cost = current_cost_before + estimated_cost
# Use direct SQL UPDATE for dynamic attributes
from sqlalchemy import text as sql_text
update_query = sql_text("""
UPDATE usage_summaries
SET stability_calls = :new_calls,
stability_cost = :new_cost
WHERE user_id = :user_id AND billing_period = :period
""")
db_track.execute(update_query, {
'new_calls': new_calls,
'new_cost': new_cost,
'user_id': user_id,
'period': current_period
})
# Update total cost
summary.total_cost = (summary.total_cost or 0.0) + estimated_cost
summary.total_calls = (summary.total_calls or 0) + 1
summary.updated_at = datetime.utcnow()
# Create usage log
usage_log = APIUsageLog(
user_id=user_id,
provider=APIProvider.STABILITY, # Image generation uses STABILITY provider
endpoint="/image-generation/character",
method="POST",
model_used="ideogram-character",
tokens_input=0,
tokens_output=0,
tokens_total=0,
cost_input=0.0,
cost_output=0.0,
cost_total=estimated_cost,
response_time=0.0,
status_code=200,
request_size=len(prompt.encode("utf-8")),
response_size=len(image_bytes),
billing_period=current_period,
)
db_track.add(usage_log)
# Get plan details for unified log
limits = pricing.get_user_limits(user_id)
plan_name = limits.get('plan_name', 'unknown') if limits else 'unknown'
tier = limits.get('tier', 'unknown') if limits else 'unknown'
image_limit = limits['limits'].get("stability_calls", 0) if limits else 0
image_limit_display = image_limit if (image_limit > 0 or tier != 'enterprise') else ''
# Get related stats
current_audio_calls = getattr(summary, "audio_calls", 0) or 0
audio_limit = limits['limits'].get("audio_calls", 0) if limits else 0
current_image_edit_calls = getattr(summary, "image_edit_calls", 0) or 0
image_edit_limit = limits['limits'].get("image_edit_calls", 0) if limits else 0
current_video_calls = getattr(summary, "video_calls", 0) or 0
video_limit = limits['limits'].get("video_calls", 0) if limits else 0
db_track.commit()
# UNIFIED SUBSCRIPTION LOG
print(f"""
[SUBSCRIPTION] Image Generation (Character)
├─ User: {user_id}
├─ Plan: {plan_name} ({tier})
├─ Provider: wavespeed
├─ Actual Provider: wavespeed
├─ Model: ideogram-character
├─ Calls: {current_calls_before}{new_calls} / {image_limit_display}
├─ Cost: ${current_cost_before:.4f} → ${new_cost:.4f}
├─ Audio: {current_audio_calls} / {audio_limit if audio_limit > 0 else ''}
├─ Image Editing: {current_image_edit_calls} / {image_edit_limit if image_edit_limit > 0 else ''}
├─ Videos: {current_video_calls} / {video_limit if video_limit > 0 else ''}
└─ Status: ✅ Allowed & Tracked
""", flush=True)
sys.stdout.flush()
logger.info(f"[Character Image Generation] ✅ Successfully tracked usage: user {user_id} -> {new_calls} calls, ${estimated_cost:.4f}")
except Exception as track_error:
logger.error(f"[Character Image Generation] ❌ Error tracking usage (non-blocking): {track_error}", exc_info=True)
import traceback
logger.error(f"[Character Image Generation] Full traceback: {traceback.format_exc()}")
db_track.rollback()
finally:
db_track.close()
except Exception as usage_error:
logger.error(f"[Character Image Generation] ❌ Failed to track usage: {usage_error}", exc_info=True)
import traceback
logger.error(f"[Character Image Generation] Full traceback: {traceback.format_exc()}")
else:
logger.warning(f"[Character Image Generation] ⚠️ Skipping usage tracking: user_id={user_id}, image_bytes={len(image_bytes) if image_bytes else 0} bytes")
return image_bytes
except HTTPException:
raise
except Exception as api_error:
logger.error(f"[Character Image Generation] Character image generation API failed: {api_error}")
raise HTTPException(
status_code=502,
detail={
"error": "Character image generation failed",
"message": str(api_error)
}
)