Skip to content

Instantly share code, notes, and snippets.

@clbarnes
Last active September 3, 2019 18:29
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save clbarnes/5cec48e6fdf1ee62fa3049065d2bdb49 to your computer and use it in GitHub Desktop.
Save clbarnes/5cec48e6fdf1ee62fa3049065d2bdb49 to your computer and use it in GitHub Desktop.
Import many SWC files into
#!/usr/bin/env python3
"""Script for uploading multiple neurons to CATMAID from SWC files.
Assumes all of your SWC files are in a directory, and called 'my_neuron_name.swc'.
Requirements:
python >= 3.6
catpy (pip install catpy)
tqdm (pip install tqdm)
"""
import os
from typing import List, Dict, Union, Any, Optional
from pathlib import Path
from catpy.applications import CatmaidClientApplication
from tqdm import tqdm
MY_SWC_DIR = "path/to/directory" # directory containing SWC files
ANNOTATIONS = ["imported"] # list of strings to annotate uploaded skeletons with
MY_CREDS = "path/to/credentials.json" # path to credentials file, with a format like
# {
# "base_url": "https://catmaid.servername.com/catmaid_subdirectory/",
# "project_id": 1,
# "token": "your_catmaid_token", # see https://catmaid.readthedocs.io/en/stable/api.html#api-token; must have "import" permission
# "auth_name": "http_auth_username", # delete if you don't use HTTP auth
# "auth_pass": "http_auth_password" # as above
# }
class SkeletonImporter(CatmaidClientApplication):
def upload_swc(self, fpath: Union[str, os.PathLike], **kwargs) -> Dict[str, Any]:
"""Takes path to SWC file, plus POST parameters described in the skeletons/import endpoint.
Returns response dict as described.
https://github.com/catmaid/CATMAID/blob/master/django/applications/catmaid/control/skeleton.py#L2376
"""
fname = os.path.basename(fpath)
with open(fpath, 'rb') as f:
result = self.post((self.project_id, "skeletons", "import"), data=kwargs,
files={fname: f})
return result
def annotate_skeletons(self, skids: List[int], annotations: List[str],
meta: Optional[List[str]] = None):
"""Annotate many skeletons with many annotations.
Those annotations can optionally be annotated by passing a list of meta-annotations.
"""
data = {"annotations": annotations, "skeleton_ids": skids}
if meta:
data["meta_annotations"] = meta
response = self.post((self.project_id, "annotations", "add"), data)
return response
def import_and_annotate(self, swc_dir, annotations=None):
skeleton_ids = []
results = []
for fpath in tqdm(list(Path(swc_dir).glob('*.swc'))):
result = self.upload_swc(fpath, name=fpath.stem)
skeleton_ids.append(result["skeleton_id"])
results.append(result)
if annotations:
self.annotate_skeletons(skeleton_ids, annotations)
print(f"Imported {len(skeleton_ids)} skeletons")
return results
if __name__ == "__main__":
imp = SkeletonImporter.from_json(MY_CREDS)
imp.import_and_annotate(MY_SWC_DIR, ANNOTATIONS)
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment