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Brandon Rozek 2022-12-01 20:44:08 -05:00
parent 06c5334df3
commit 890bc42226
3 changed files with 2 additions and 275 deletions
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2
content/observations

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Subproject commit d382a9411c539b36139df5d1d25eb09fe6602fdb Subproject commit c463b7fb1db83679bb0c95e1c7822ccfaa6c0c82

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content/toots

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Subproject commit b1f6da3c04d68dc8cdbeaaf9392c8f8ef6d80586 Subproject commit 04568107105e3663b3f79321d95bfd4f3a6de9af

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refreshobservations.py
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#!/usr/bin/env python
"""
Script to create Hugo markdown
files from iNaturalist Observations
"""
from urllib import request
from glob import glob
from http.client import HTTPResponse
from pathlib import Path
from typing import Any, Dict, Optional
import json
import sys
import time
CONTENT_LOCATION = "content/observations"
USER_ID = "brandonrozek"
MIN_OBS_ID = -1
def retrieve_data_from_server():
server_data = []
server_ids = retrieve_obs_ids_from_server()
time.sleep(1) # 60 requests / second cap
for id_num in server_ids:
# Grab observation from iNaturalist
url = f"https://api.inaturalist.org/v1/observations/{id_num}"
response: Optional[HTTPResponse] = None
try:
response = request.urlopen(url)
except Exception:
print(f"Unable to grab observation {id_num} from iNaturalist.")
if response is None:
continue
# Parse server response
server_data_part = None
try:
server_data_part = json.loads(response.read())['results'][0]
# Note: there is only one observation as a result
except Exception:
print(f"Malformed JSON response for observation {id_num}.")
continue
server_data_part = reformat_obs(id_num, server_data_part)
server_data.append(server_data_part)
time.sleep(1) # 60 requests / second cap
print(f"Successfully obtained {len(server_data)} observations from the server.")
return server_data
def retrieve_obs_ids_from_server():
"""
Grabs observation ids from iNaturalist server
"""
global MIN_OBS_ID
server_data = []
finished_retrieving = False
while not finished_retrieving:
# Grab observations from iNaturalist
id_below = "&id_below=" + str(MIN_OBS_ID) \
if MIN_OBS_ID > 0 else ""
url = "https://api.inaturalist.org/v1/observations?order=desc&order_by=created_at&only_id=true&user_id=" + USER_ID + id_below
response: Optional[HTTPResponse] = None
try:
response = request.urlopen(url)
except Exception:
print("Unable to grab observations from iNaturalist.")
if response is None:
sys.exit(-1)
# Parse server response
server_data_part: Optional[list] = None
try:
server_data_part = json.loads(response.read())['results']
except Exception:
print("Malformed JSON response from server.")
if server_data is None:
sys.exit(-1)
if not isinstance(server_data_part, list):
print("Unexpected JSON response, should be of form list.")
sys.exit(-1)
# No more to retrieve
if len(server_data_part) == 0:
finished_retrieving = True
break
server_data_part = [d['id'] for d in server_data_part]
# print(f"Retrieved {len(server_data_part)} observations from server")
server_data.extend(server_data_part)
MIN_OBS_ID = server_data_part[-1]
print(f"Parsed a total of {len(server_data)} ids from server")
return server_data
def reformat_obs(obsid, obs_json):
"""
Takes a obs_json and
slightly modifies it to match
some of the fields Hugo expects.
"""
obs_data = dict(
id=str(obsid),
metadata={},
content=""
)
# Turn URL -> Syndication
obs_data['metadata']['syndication'] = obs_json['uri']
# Turn Created At -> Date
obs_data['metadata']['date'] = obs_json['time_observed_at']
# Grab some taxonomy information about the organism
obs_data['metadata']['taxon'] = dict(
name=obs_json['taxon']['name'],
common_name=obs_json['taxon']['preferred_common_name']
)
# Grab only a few fields
desired_fields = [
'quality_grade', 'identifications_most_agree',
'species_guess', 'identifications_most_disagree',
'captive', 'project_ids',
'community_taxon_id', 'geojson',
'owners_identification_from_vision',
'identifications_count', 'obscured',
'num_identification_agreements',
'num_identification_disagreements',
'place_guess', "photos"
]
for key in desired_fields:
obs_data['metadata'][key] = obs_json[key]
return obs_data
############################################################################
def findall(p, s):
"""
Yields all the positions of
the pattern p in the string s.
Source: https://stackoverflow.com/a/34445090
"""
i = s.find(p)
while i != -1:
yield i
i = s.find(p, i+1)
def hugo_markdown_to_json(markdown_contents) -> Optional[Dict[Any, Any]]:
"""
Take the contents from a Hugo markdown
file and read the JSON frontmatter if it
exists.
"""
front_matter_indices = list(findall('---', markdown_contents))
if len(front_matter_indices) < 2:
return None
front_matter = markdown_contents[(front_matter_indices[0] + 3):front_matter_indices[1]]
json_contents = None
try:
json_contents = json.loads(front_matter)
except Exception:
pass
if not isinstance(json_contents, dict):
json_contents = None
html_contents = markdown_contents[front_matter_indices[1] + 19:-17]
return json_contents, html_contents
def create_markdown_str(frontmatter, content):
"""
Takes a JSON frontmatter
and creates a string representing
the contents of a Hugo markdown
file.
"""
return "---\n" + \
f"{json.dumps(frontmatter)}\n" +\
"---\n" +\
"{{< unsafe >}}\n" +\
f"{content}\n" +\
"{{< /unsafe >}}\n"
def file_from_id(idnum):
"""Returns filename from id"""
return f"{CONTENT_LOCATION}/{idnum}.md"
def read_hugo_markdown(idnum) -> Optional[Dict[Any, Any]]:
"""
Given an id, return the markdown file
frontmatter and contents stored in Hugo
if it exists.
"""
try:
with open(file_from_id(idnum), "r", encoding="UTF-8") as hugo_file:
frontmatter, contents = hugo_markdown_to_json(hugo_file.read())
return frontmatter, contents
except Exception:
return None
def write_markdown(id_num, frontmatter, contents):
"""
Takes a frontmatter json
and writes it to a hugo
markdown content file.
"""
try:
with open(file_from_id(id_num), "w", encoding="UTF-8") as hugo_file:
hugo_file.write(create_markdown_str(frontmatter, contents))
except Exception as e:
print("Failed to write", id_num)
############################################################################
# Read in saved data
saved_filenames = glob(CONTENT_LOCATION + "/*.md")
saved_ids = { Path(fname).stem for fname in saved_filenames }
server_data = retrieve_data_from_server()
# Data is structured like [{id: '', metadata: '', contents: ''}]
# Where metadata is a JSON and contents is HTML
for data in server_data:
id_num = data['id']
# If the observation already exists
if id_num in saved_ids:
saved_fm, saved_content = read_hugo_markdown(id_num)
if saved_fm is None:
print("Unable to read saved data id", id_num)
# Only update if observation has changed
elif saved_fm != data['metadata']:
print("Updating id", id_num)
write_markdown(id_num, data['metadata'], data['content'])
# New observation found
else:
print("Creating id", id_num)
write_markdown(id_num, data['metadata'], data['content'])
print("Completed")