Open Source Computer Vision Library https://opencv.org/
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"""
This code adds Python/Java signatures to the docs.
TODO: Do the same thing for Java
* using javadoc/ get all the methods/classes/constants to a json file
TODO:
* clarify when there are several C++ signatures corresponding to a single Python function.
i.e: calcHist():
http://docs.opencv.org/3.2.0/d6/dc7/group__imgproc__hist.html#ga4b2b5fd75503ff9e6844cc4dcdaed35d
* clarify special case:
http://docs.opencv.org/3.2.0/db/de0/group__core__utils.html#ga4910d7f86336cd4eff9dd05575667e41
"""
from __future__ import print_function
import os
import re
import sys
import logging
import html_functions
import doxygen_scan
loglevel=os.environ.get("LOGLEVEL", None)
if loglevel:
logging.basicConfig(level=loglevel)
ROOT_DIR = sys.argv[1]
PYTHON_SIGNATURES_FILE = sys.argv[2]
JAVA_PYTHON = sys.argv[3]
ADD_JAVA = False
ADD_PYTHON = False
if JAVA_PYTHON == "python":
ADD_PYTHON = True
import json
python_signatures = dict()
with open(PYTHON_SIGNATURES_FILE, "rt") as f:
python_signatures = json.load(f)
print("Loaded Python signatures: %d" % len(python_signatures))
# only name -> class
# name and ret -> constant
# name, ret, arg-> function / class method
class Configuration():
def __init__(self):
self.ADD_PYTHON = ADD_PYTHON
self.python_signatures = python_signatures
self.ADD_JAVA = ADD_JAVA
config = Configuration()
import xml.etree.ElementTree as ET
root = ET.parse(ROOT_DIR + 'opencv.tag')
files_dict = dict()
# constants and function from opencv.tag
namespaces = root.findall("./compound[@kind='namespace']")
#print("Found {} namespaces".format(len(namespaces)))
for ns in namespaces:
ns_name = ns.find("./name").text
#print('NS: {}'.format(ns_name))
files_dict = doxygen_scan.scan_namespace_constants(ns, ns_name, files_dict)
files_dict = doxygen_scan.scan_namespace_functions(ns, ns_name, files_dict)
# class methods from opencv.tag
classes = root.findall("./compound[@kind='class']")
#print("Found {} classes".format(len(classes)))
for c in classes:
c_name = c.find("./name").text
name = ns_name + '::' + c_name
file = c.find("./filename").text
#print('Class: {} => {}'.format(name, file))
files_dict = doxygen_scan.scan_class_methods(c, c_name, files_dict)
# test
for file in files_dict:
soup = html_functions.load_html_file(ROOT_DIR + file)
if file == "dd/d9e/classcv_1_1VideoWriter.html":#"d4/d86/group__imgproc__filter.html":#"d4/d86/group__imgproc__filter.html":
anchor_list = files_dict[file]
counter = 0
anchor_tmp_list = []
for anchor in anchor_list:
counter += 1
# if the next anchor shares the same C++ name (= same method/function), join them together
if counter < len(anchor_list) and anchor_list[counter].cppname == anchor.cppname:
anchor_tmp_list.append(anchor)
continue
else:
anchor_tmp_list.append(anchor)
# check if extists a python equivalent signature
for signature in python_signatures: # signature is a key with the C++ name
if signature == anchor.cppname: # if available name in python
# they should also have the same type
soup = html_functions.append_python_signature(python_signatures[signature], anchor_tmp_list, soup)
#print(signature)
# reset anchor temporary list
anchor_tmp_list[:] = []
html_functions.update_html(ROOT_DIR + file, soup)