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Open Source Computer Vision Library
https://opencv.org/
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188 lines
6.2 KiB
188 lines
6.2 KiB
#!/usr/bin/env python |
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import sys, glob |
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sys.path.append("../modules/python/src2/") |
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import hdr_parser as hp |
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opencv_hdr_list = [ |
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"../modules/core/include/opencv2/core/core.hpp", |
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"../modules/ml/include/opencv2/ml/ml.hpp", |
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"../modules/imgproc/include/opencv2/imgproc/imgproc.hpp", |
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"../modules/calib3d/include/opencv2/calib3d/calib3d.hpp", |
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"../modules/features2d/include/opencv2/features2d/features2d.hpp", |
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"../modules/video/include/opencv2/video/tracking.hpp", |
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"../modules/video/include/opencv2/video/background_segm.hpp", |
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"../modules/objdetect/include/opencv2/objdetect/objdetect.hpp", |
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"../modules/highgui/include/opencv2/highgui/highgui.hpp", |
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] |
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opencv_module_list = [ |
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"core", |
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"imgproc", |
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"calib3d", |
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"features2d", |
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"video", |
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"objdetect", |
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"highgui", |
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"ml" |
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] |
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class RSTParser(object): |
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def __init__(self): |
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self.read_whitelist() |
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# reads the file containing functions and classes that do not need to be documented |
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def read_whitelist(self): |
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self.whitelist = {} |
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try: |
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wf = open("check_docs_whitelist.txt", "rt") |
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except IOError: |
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return |
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self.parser = hp.CppHeaderParser() |
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for l in wf.readlines(): |
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cpos = l.find("#") |
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if cpos >= 0: |
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l = l[:cpos] |
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l = l.strip() |
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if not l: |
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continue |
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rst_decl = None |
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if "(" in l: |
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l = l.replace("cv::", "") |
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rst_decl = self.parser.parse_func_decl_no_wrap(l) |
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fname = rst_decl[0] |
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else: |
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fname = l.replace("::", ".") |
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complist = fname.split(".") |
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prefix = "" |
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alreadyListed = False |
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wl = [] |
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for c in complist: |
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prefix = (prefix + "." + c).lstrip(".") |
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wl = self.whitelist.get(prefix, []) |
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if wl == "*": |
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break |
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if wl == "*": |
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continue |
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if not rst_decl: |
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self.whitelist[fname] = "*" |
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else: |
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wl.append(rst_decl) |
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self.whitelist[fname] = wl |
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wf.close() |
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def process_rst(self, docname): |
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df = open(docname, "rt") |
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fdecl = "" |
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balance = 0 |
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lineno = 0 |
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for l in df.readlines(): |
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lineno += 1 |
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ll = l.strip() |
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if balance == 0: |
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if not ll.startswith(".. c:function::") and \ |
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not ll.startswith(".. cpp:function::") and \ |
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not ll.startswith(".. ocv:function::") and \ |
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not ll.startswith(".. ocv:cfunction::"): |
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continue |
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fdecl = ll[ll.find("::") + 3:] |
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elif balance > 0: |
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fdecl += ll |
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balance = fdecl.count("(") - fdecl.count(")") |
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assert balance >= 0 |
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if balance > 0: |
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continue |
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rst_decl = self.parser.parse_func_decl_no_wrap(fdecl) |
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fname = rst_decl[0] |
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hdr_decls = self.fmap.get(fname, []) |
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if not hdr_decls: |
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fname = fname.replace("cv.", "") |
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hdr_decls = self.fmap.get(fname, []) |
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if not hdr_decls: |
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print "Documented function %s (%s) in %s:%d is not in the headers" % (fdecl, rst_decl[0].replace(".", "::"), docname, lineno) |
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continue |
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decl_idx = 0 |
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for hd in hdr_decls: |
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if len(hd[3]) != len(rst_decl[3]): |
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decl_idx += 1 |
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continue |
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idx = 0 |
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for a in hd[3]: |
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if a[0] != rst_decl[3][idx][0] and a[0].replace("cv::", "") != rst_decl[3][idx][0]: |
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break |
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idx += 1 |
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if idx == len(hd[3]): |
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break |
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decl_idx += 1 |
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if decl_idx < len(hdr_decls): |
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self.fmap[fname] = hdr_decls[:decl_idx] + hdr_decls[decl_idx+1:] |
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continue |
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print "Documented function %s in %s:%d does not have a match" % (fdecl, docname, lineno) |
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df.close() |
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def decl2str(self, decl): |
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return "%s %s(%s)" % (decl[1], decl[0], ", ".join([a[0] + " " + a[1] for a in decl[3]])) |
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def check_module_docs(self, name): |
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self.parser = hp.CppHeaderParser() |
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decls = [] |
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self.fmap = {} |
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for hname in opencv_hdr_list: |
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if hname.startswith("../modules/" + name): |
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decls += self.parser.parse(hname, wmode=False) |
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for d in decls: |
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fname = d[0] |
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if not fname.startswith("struct") and not fname.startswith("class") and not fname.startswith("const"): |
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dlist = self.fmap.get(fname, []) |
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dlist.append(d) |
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self.fmap[fname] = dlist |
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self.missing_docfunc_list = [] |
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doclist = glob.glob("../modules/" + name + "/doc/*.rst") |
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for d in doclist: |
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self.process_rst(d) |
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print "\n\n########## The list of undocumented functions: ###########\n\n" |
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misscount = 0 |
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fkeys = sorted(self.fmap.keys()) |
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for f in fkeys: |
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# skip undocumented destructors |
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if "~" in f: |
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continue |
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decls = self.fmap[f] |
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fcomps = f.split(".") |
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prefix = "" |
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wlist_decls = [] |
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for c in fcomps: |
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prefix = (prefix + "." + c).lstrip(".") |
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wlist_decls = self.whitelist.get(prefix, []) |
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if wlist_decls == "*": |
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break |
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if wlist_decls == "*": |
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continue |
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wlist_decls = [self.decl2str(d) for d in wlist_decls] |
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for d in decls: |
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dstr = self.decl2str(d) |
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# special hack for ML: skip old variants of the methods |
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if name == "ml" and ("CvMat" in dstr): |
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continue |
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if dstr not in wlist_decls: |
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misscount += 1 |
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print "%s %s(%s)" % (d[1], d[0].replace(".", "::"), ", ".join([a[0] + " " + a[1] for a in d[3]])) |
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print "\n\n\nundocumented functions in %s: %d" % (name, misscount) |
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p = RSTParser() |
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for m in opencv_module_list: |
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print "\n\n*************************** " + m + " *************************\n" |
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p.check_module_docs(m) |
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