384 lines
13 KiB
Python
Executable File

#!/usr/bin/env python3
import os
import sys
import json
import requests
import argparse
import logging
from multiprocessing import Pool
from tqdm import tqdm
import oss2
class SubCommand(object):
""" Base class of subcommand"""
help = ""
aliases = []
want_argv = False # Whether the command accepts extra arguments
envs = {
'prod': {
'server': 'https://themblem.com',
'token': '3ebd8c33-f46e-4b06-bda8-4c0f5f5eb530',
},
'dev': {
'server': 'https://dev.themblem.com',
'token': 'D91AB64B-C5CA-4B78-AC76-01722B8C8A5C',
},
}
def setup_args(self, parser):
pass
def do(self, args, argv):
"""Do command"""
print("Not implemented")
def get_env(self):
return self.envs[self.args.env]
def get_server(self):
return self.get_env()['server']
def make_headers(self):
return {
'Authorization': 'token ' + self.get_env()['token'],
}
class ActivateCommand(SubCommand):
name = "activate"
want_argv = True
help = "Activate code"
def setup_args(self, parser):
pass
def do(self, args, argv):
for i in argv:
print(i)
self.activate(i)
def activate(self, code):
server = self.get_server()
pk = self.get_pk(code)
url = f'{server}/api/v1/code/{pk}/'
r = requests.patch(url, headers=self.make_headers(), json={
'is_active': True,
})
print(r.text)
def get_pk(self, code):
server = self.get_server()
url = f'{server}/api/v1/code/?code=' + code
r = requests.get(url, headers=self.make_headers())
r = r.json()
return r['objects'][0]['id']
def _download_scan_data_worker(args_tuple):
"""Worker function for multiprocessing"""
scan_data, server, token, output_dir = args_tuple
scan_id = scan_data['id']
try:
# Save JSON
with open(f"{output_dir}/{scan_id}.json", "w") as f:
f.write(json.dumps(scan_data, indent=2) + "\n")
# Save message
if scan_data.get('message'):
with open(f"{output_dir}/{scan_id}.txt", "w") as f:
f.write(scan_data['message'] + "\n")
# Download image
if scan_data.get('image'):
url = f'{server}/api/v1/oss-image/?token={token}&name={scan_data["image"]}'
r = requests.get(url)
r.raise_for_status()
with open(f"{output_dir}/{scan_id}-frame.jpg", "wb") as f:
f.write(r.content)
# Download ROI if available
if scan_data.get('code'):
url = f'{server}/api/v1/code-feature-roi/?token={token}&code={scan_data["code"]}'
r = requests.get(url)
if r.status_code == 200:
with open(f"{output_dir}/{scan_id}-roi.jpg", "wb") as f:
f.write(r.content)
return scan_id, None
except Exception as e:
return scan_id, str(e)
class GetScanDataCommand(SubCommand):
name = "get-scan-data"
want_argv = True
help = "Get scan data from api"
def setup_args(self, parser):
parser.add_argument("--output", "-o", required=True)
parser.add_argument("--include-labels", help="Comma-separated list of labels to include")
parser.add_argument("--exclude-labels", help="Comma-separated list of labels to exclude")
parser.add_argument("--limit", type=int, help="Limit number of results")
parser.add_argument("--offset", type=int, help="Offset for pagination")
parser.add_argument("--query", "-q", help="Search query")
parser.add_argument("--workers", "-w", type=int, default=8, help="Number of parallel workers (default: 8)")
def do(self, args, argv):
os.makedirs(args.output, exist_ok=True)
server = self.get_server()
token = self.get_env()['token']
if argv:
# If IDs are provided, fetch them individually
scan_data_list = []
for i in argv:
sd = self.get_scan_data(i)
scan_data_list.append(sd)
else:
# If no IDs, query the list endpoint with filters
scan_data_list = self.query_scan_data(args)
if not scan_data_list:
print("No scan data found.")
return
print(f"Found {len(scan_data_list)} scan data records")
# Prepare arguments for worker function
worker_args = [(sd, server, token, args.output) for sd in scan_data_list]
# Use multiprocessing with tqdm progress bar
with Pool(processes=args.workers) as pool:
results = list(tqdm(
pool.imap(_download_scan_data_worker, worker_args),
total=len(scan_data_list),
desc="Downloading"
))
# Check for errors
errors = [r for r in results if r[1] is not None]
if errors:
print(f"\nErrors occurred for {len(errors)} records:", file=sys.stderr)
for scan_id, error in errors:
print(f" {scan_id}: {error}", file=sys.stderr)
def query_scan_data(self, args):
"""Query scan data list endpoint with filters, handling pagination"""
server = self.get_server()
url = f'{server}/api/v1/scan-data/'
base_params = {}
if args.include_labels:
base_params['include_labels'] = args.include_labels
if args.exclude_labels:
base_params['exclude_labels'] = args.exclude_labels
if args.query:
base_params['q'] = args.query
all_objects = []
offset = args.offset if args.offset else 0
limit = args.limit if args.limit else None
# If limit is set, respect it and don't paginate
if limit:
params = base_params.copy()
params['limit'] = limit
params['offset'] = offset
print(f"Querying: {url} with params: {params}")
r = requests.get(url, headers=self.make_headers(), params=params)
r.raise_for_status()
data = r.json()
return data.get('objects', [])
# Otherwise, fetch all pages
while True:
params = base_params.copy()
params['offset'] = offset
# Don't set limit to use API default
print(f"Querying: {url} with params: {params}")
r = requests.get(url, headers=self.make_headers(), params=params)
r.raise_for_status()
data = r.json()
objects = data.get('objects', [])
meta = data.get('meta', {})
if not objects:
break
all_objects.extend(objects)
# Check if we've fetched all pages
total_count = meta.get('total_count', 0)
current_limit = meta.get('limit', len(objects))
offset += len(objects)
print(f"Fetched {len(all_objects)}/{total_count} records...")
if offset >= total_count or len(objects) < current_limit:
break
return all_objects
def get_scan_data(self, i):
server = self.get_server()
url = f'{server}/api/v1/scan-data/{i}/'
print(url)
r = requests.get(url, headers=self.make_headers())
return r.json()
def get_image(self, name):
server = self.get_server()
token = self.get_env()['token']
url = f'{server}/api/v1/oss-image/?token={token}&name={name}'
r = requests.get(url)
r.raise_for_status()
return r.content
def get_roi(self, code):
server = self.get_server()
token = self.get_env()['token']
url = f'{server}/api/v1/code-feature-roi/?token={token}&code={code}'
r = requests.get(url)
if r.status_code == 404:
return None
return r.content
class UploadRoiCommand(SubCommand):
name = "upload-roi"
want_argv = True
help = "Upload roi, filename should be {code}.jpg"
def setup_args(self, parser):
parser.add_argument("file", action="append")
def do(self, args, argv):
for f in args.file:
print(f)
url = self.get_server() + "/api/v1/code-feature-roi/"
print(url)
r = requests.post(url, headers=self.make_headers(), files={
f: open(f, 'rb'),
})
print(r.text)
class UserInfoCommand(SubCommand):
name = "userinfo"
want_argv = True
help = "Call the userinfo API"
def setup_args(self, parser):
pass
def do(self, args, argv):
server = self.get_server()
url = f'{server}/api/v1/userinfo/'
r = requests.get(url, headers=self.make_headers())
r.raise_for_status()
print(r.json())
class UploadModelCommand(SubCommand):
name = "upload-model"
want_argv = False
help = "Upload model file to OSS bucket for qr-verify API"
def setup_args(self, parser):
parser.add_argument("file", help="Model file to upload")
def do(self, args, argv):
# OSS credentials (same as in emblem5/ai/ossclient.py)
oss_ak = 'LTAI5tC2qXGxwHZUZP7DoD1A'
oss_sk = 'qPo9O6ZvEfqo4t8oflGEm0DoxLHJhm'
# OSS endpoint and bucket (same as in emblem5/ai/server.py download_model)
endpoint = 'https://oss-rg-china-mainland.aliyuncs.com'
bucket_name = 'emblem-models'
model_file = args.file
if not os.path.exists(model_file):
print(f"Error: File not found: {model_file}", file=sys.stderr)
return 1
model_name = os.path.basename(model_file)
print(f"Uploading {model_file} to {bucket_name}/{model_name}...")
try:
auth = oss2.Auth(oss_ak, oss_sk)
bucket = oss2.Bucket(auth, endpoint, bucket_name)
bucket.put_object_from_file(model_name, model_file)
print(f"Successfully uploaded {model_name} to OSS bucket {bucket_name}")
print(f"The qr-verify API will be able to download it as: {model_name}")
except Exception as e:
print(f"Error uploading model: {e}", file=sys.stderr)
return 1
class ListModelsCommand(SubCommand):
name = "list-models"
want_argv = False
help = "List models available in OSS bucket for qr-verify API"
def setup_args(self, parser):
pass
def do(self, args, argv):
# OSS credentials (same as in emblem5/ai/ossclient.py)
oss_ak = 'LTAI5tC2qXGxwHZUZP7DoD1A'
oss_sk = 'qPo9O6ZvEfqo4t8oflGEm0DoxLHJhm'
# OSS endpoint and bucket (same as in emblem5/ai/server.py download_model)
endpoint = 'https://oss-rg-china-mainland.aliyuncs.com'
bucket_name = 'emblem-models'
try:
auth = oss2.Auth(oss_ak, oss_sk)
bucket = oss2.Bucket(auth, endpoint, bucket_name)
print(f"Models in OSS bucket {bucket_name}:")
print("-" * 60)
models = []
for obj in oss2.ObjectIterator(bucket):
models.append(obj.key)
if not models:
print("No models found in bucket.")
else:
models.sort()
for i, model_name in enumerate(models, 1):
print(f"{i:3d}. {model_name}")
print("-" * 60)
print(f"Total: {len(models)} model(s)")
except Exception as e:
print(f"Error listing models: {e}", file=sys.stderr)
return 1
def global_args(parser):
parser.add_argument("--env", "-E", help="Env", default="prod")
parser.add_argument("-D", "--debug", action="store_true",
help="Enable debug output")
def main():
parser = argparse.ArgumentParser()
global_args(parser)
subparsers = parser.add_subparsers(title="subcommands")
for c in SubCommand.__subclasses__():
cmd = c()
p = subparsers.add_parser(cmd.name, aliases=cmd.aliases,
help=cmd.help)
cmd.setup_args(p)
p.set_defaults(func=cmd.do, cmdobj=cmd, all=False)
args, argv = parser.parse_known_args()
if not hasattr(args, "cmdobj"):
parser.print_usage()
return 1
if args.debug:
logging.basicConfig(level=logging.DEBUG)
if argv and not args.cmdobj.want_argv:
raise Exception("Unrecognized arguments:\n" + argv[0])
args.cmdobj.args = args
r = args.func(args, argv)
return r
if __name__ == '__main__':
sys.exit(main())