217 lines
9.6 KiB
Python
217 lines
9.6 KiB
Python
#!/usr/bin/env python3
|
|
import argparse
|
|
import json
|
|
import os
|
|
import sys
|
|
from google import genai
|
|
from google.genai import types
|
|
|
|
def main():
|
|
parser = argparse.ArgumentParser(description="Gemini API CLI with File & Context Caching")
|
|
parser.add_argument("-c", "--context", type=str, default=None,
|
|
help="Path to context file. If omitted, files/caches are deleted after execution.")
|
|
parser.add_argument("-f", "--files", nargs="+", default=[],
|
|
help="Files to upload to the Gemini API")
|
|
parser.add_argument("-m", "--model", type=str, default="gemini-3.1-flash-lite",
|
|
help="The model to use (default: gemini-3.1-flash-lite)")
|
|
parser.add_argument("-d", "--destroy", action="store_true",
|
|
help="Destroy the cloud files and cache, and delete the local context file")
|
|
parser.add_argument("-o", "--output", type=str,
|
|
help="Direct the raw output to a specific file instead of stdout")
|
|
parser.add_argument("-p", "--prompt", type=str,
|
|
help="The prompt to send to the AI")
|
|
parser.add_argument("positional_prompt", nargs=argparse.REMAINDER,
|
|
help="Positional arguments treated as the prompt if -p is omitted")
|
|
|
|
args = parser.parse_args()
|
|
|
|
prompt_text = args.prompt if args.prompt else " ".join(args.positional_prompt) if args.positional_prompt else None
|
|
|
|
if not os.environ.get("GEMINI_API_KEY"):
|
|
print("Error: GEMINI_API_KEY environment variable is not set.", file=sys.stderr)
|
|
sys.exit(1)
|
|
|
|
client = genai.Client()
|
|
context_data = {"file_ids": [], "cache_id": None}
|
|
|
|
if args.context and os.path.exists(args.context):
|
|
try:
|
|
with open(args.context, "r") as f:
|
|
context_data = json.load(f)
|
|
except json.JSONDecodeError:
|
|
print(f"Warning: Could not parse {args.context}. Starting fresh.", file=sys.stderr)
|
|
|
|
# ---------------------------------------------------------
|
|
# DESTROY FLAG LOGIC
|
|
# ---------------------------------------------------------
|
|
if args.destroy:
|
|
print("Destroying server resources and local context...")
|
|
if context_data.get("cache_id"):
|
|
try:
|
|
client.caches.delete(name=context_data["cache_id"])
|
|
print(f"Deleted cache: {context_data['cache_id']}")
|
|
except Exception as e:
|
|
print(f"Warning: Failed to delete cache. {e}", file=sys.stderr)
|
|
|
|
for file_id in context_data.get("file_ids", []):
|
|
try:
|
|
client.files.delete(name=file_id)
|
|
print(f"Deleted file: {file_id}")
|
|
except Exception as e:
|
|
print(f"Warning: Failed to delete file '{file_id}'. {e}", file=sys.stderr)
|
|
|
|
if args.context and os.path.exists(args.context):
|
|
os.remove(args.context)
|
|
print(f"Deleted local context file: {args.context}")
|
|
|
|
print("Cleanup complete.")
|
|
return
|
|
|
|
try:
|
|
# ---------------------------------------------------------
|
|
# UPLOAD LOGIC
|
|
# ---------------------------------------------------------
|
|
new_files_added = False
|
|
if args.files:
|
|
for file_path in args.files:
|
|
if not os.path.exists(file_path):
|
|
print(f"Warning: File '{file_path}' not found. Skipping.", file=sys.stderr)
|
|
continue
|
|
|
|
print(f"Uploading '{file_path}'...")
|
|
uploaded_file = client.files.upload(file=file_path)
|
|
print(f"Success: '{file_path}' uploaded as '{uploaded_file.name}'")
|
|
|
|
if uploaded_file.name not in context_data["file_ids"]:
|
|
context_data["file_ids"].append(uploaded_file.name)
|
|
new_files_added = True
|
|
|
|
if args.context:
|
|
with open(args.context, "w") as f:
|
|
json.dump(context_data, f, indent=4)
|
|
|
|
# ---------------------------------------------------------
|
|
# CACHE CREATION LOGIC
|
|
# ---------------------------------------------------------
|
|
system_instruction = (
|
|
"You are a hybrid data extraction tool. If a specific format or file format output is requested "
|
|
"(e.g., CSV), then output exactly what was requested and never use markdown formatting blocks (like ```csv). "
|
|
"If a specific format was requested, never include conversational text, greetings, or explanations; "
|
|
"and output raw data only. If not specific data format is suggested, you can answer with conversational text."
|
|
)
|
|
|
|
# If new files were added but a cache already exists, we must destroy the stale cache.
|
|
if new_files_added and context_data.get("cache_id"):
|
|
print("New files detected. Destroying stale cache to rebuild...")
|
|
try:
|
|
client.caches.delete(name=context_data["cache_id"])
|
|
except Exception as e:
|
|
print(f"Warning: Could not delete stale cache. {e}", file=sys.stderr)
|
|
context_data["cache_id"] = None
|
|
|
|
cache_too_small = False
|
|
file_objects = []
|
|
|
|
if context_data.get("file_ids"):
|
|
file_objects = [client.files.get(name=f_id) for f_id in context_data["file_ids"]]
|
|
|
|
if not context_data.get("cache_id"):
|
|
print("Attempting to create Context Cache on Google's servers...")
|
|
try:
|
|
cache = client.caches.create(
|
|
model=args.model,
|
|
config=types.CreateCachedContentConfig(
|
|
contents=file_objects,
|
|
system_instruction=system_instruction,
|
|
ttl="3600s"
|
|
)
|
|
)
|
|
context_data["cache_id"] = cache.name
|
|
if args.context:
|
|
with open(args.context, "w") as f:
|
|
json.dump(context_data, f, indent=4)
|
|
print(f"Context Cache created: {cache.name}")
|
|
|
|
except Exception as e:
|
|
if "too small" in str(e).lower() or "1024" in str(e):
|
|
print("Notice: Files are too small for server-side caching (under 1024 tokens). Falling back to standard processing.")
|
|
cache_too_small = True
|
|
else:
|
|
raise e
|
|
|
|
elif not cache_too_small:
|
|
print(f"Loading existing cache: {context_data['cache_id']}")
|
|
print("Extending cache TTL by 60 minutes...")
|
|
try:
|
|
client.caches.update(
|
|
name=context_data["cache_id"],
|
|
config=types.UpdateCachedContentConfig(ttl="3600s")
|
|
)
|
|
except Exception as e:
|
|
print(f"Warning: Failed to update cache TTL. {e}")
|
|
|
|
# ---------------------------------------------------------
|
|
# GENERATION LOGIC
|
|
# ---------------------------------------------------------
|
|
if prompt_text:
|
|
config_kwargs = {
|
|
"max_output_tokens": 65536,
|
|
"temperature": 0.0
|
|
}
|
|
|
|
generation_contents = []
|
|
|
|
if context_data.get("cache_id") and not cache_too_small:
|
|
config_kwargs["cached_content"] = context_data["cache_id"]
|
|
else:
|
|
generation_contents.extend(file_objects)
|
|
config_kwargs["system_instruction"] = system_instruction
|
|
|
|
generation_contents.append(prompt_text)
|
|
config = types.GenerateContentConfig(**config_kwargs)
|
|
|
|
print("Generating response (this may take a moment for large outputs)...")
|
|
|
|
response_stream = client.models.generate_content_stream(
|
|
model=args.model,
|
|
contents=generation_contents,
|
|
config=config
|
|
)
|
|
|
|
if args.output:
|
|
with open(args.output, "w") as f:
|
|
for chunk in response_stream:
|
|
if chunk.text:
|
|
f.write(chunk.text)
|
|
f.flush()
|
|
print(f"\nDone! Raw output saved directly to {args.output}")
|
|
else:
|
|
print("-" * 40)
|
|
for chunk in response_stream:
|
|
if chunk.text:
|
|
print(chunk.text, end="", flush=True)
|
|
print("\n" + "-" * 40)
|
|
|
|
finally:
|
|
# ---------------------------------------------------------
|
|
# TRANSIENT MODE CLEANUP
|
|
# ---------------------------------------------------------
|
|
if not args.context and not args.destroy:
|
|
print("\n[Transient Mode] Cleaning up resources...")
|
|
if context_data.get("cache_id"):
|
|
try:
|
|
client.caches.delete(name=context_data["cache_id"])
|
|
print(f"Deleted cache: {context_data['cache_id']}")
|
|
except Exception as e:
|
|
print(f"Warning: Failed to delete cache. {e}", file=sys.stderr)
|
|
|
|
for file_id in context_data.get("file_ids", []):
|
|
try:
|
|
client.files.delete(name=file_id)
|
|
print(f"Deleted file: {file_id}")
|
|
except Exception as e:
|
|
print(f"Warning: Failed to delete file '{file_id}'. {e}", file=sys.stderr)
|
|
|
|
if __name__ == "__main__":
|
|
main()
|