-
Notifications
You must be signed in to change notification settings - Fork 2
/
Copy pathdocparser.py
executable file
·297 lines (244 loc) · 9.59 KB
/
docparser.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
#!/usr/bin/python
import sys
import os
import itertools
import collections
from StringIO import StringIO
jobdir = os.path.expanduser("~/printerface/pickle/")
import colorsys
N=20
HSV_tuples = [(x*1.0/N, 0.5, 0.8) for x in range(N)]
colours = itertools.cycle(map(lambda x: colorsys.hsv_to_rgb(*x), HSV_tuples))
def field(col, r, c, w=10, h=1, t='??'):
col.append(dict(r=r,c=c,w=w,h=h,t=t,line=r,rgb=colours.next()))
class DocParser(object):
def parse(self, job):
if job['templ']:
mname = 'extract' + job['templ'].title()
lines = job['plain'].splitlines()
dims = (len(lines), max([len(line) for line in lines]))
if hasattr(self, mname):
fields, page_data = getattr(self, mname)(job, lines, dims)
data = page_data
return (fields, data)
print('Warning: No parsing function %s' % mname)
return (None,None)
def extractCrednote(self, job, lines, dims):
return self.extractInvoice(job, lines, dims)
def extractInvoice(self, job, lines, (rows,cols)):
all_fields = []
page_data = collections.OrderedDict()
pages = (rows-48)/48
for page in range(pages):
line =(page+1) * 48
fs = []
field(fs, line+0, 0,w=20,t='doctype')
field(fs, line+0, 95,w=10,t='date')
field(fs, line+2, 95,w=10,t='page')
field(fs, line+4, 95,w=10,t='doc_num')
field(fs, line+4, 10,w=16,t='vat_supp')
field(fs, line+5, 10,w=16,t='vat_cust')
field(fs, line+8, 12,w=38,h=6,t='addr_invoice')
field(fs, line+8, 66,w=38,h=6,t='addr_delivery')
field(fs, line+15,75,t='instructions',w=30,h=2)
field(fs, line+16,0,w=8,t='accno')
field(fs, line+16,9,w=10,t='custref')
field(fs, line+16,20,w=7,t='ourref')
field(fs, line+16,28,w=8,t='ord_date')
field(fs, line+16,66,w=8,t='req_date')
field(fs, line+16,39,w=26,t='salesperson')
field(fs, line+19,0,w=15,t='prod_code',h=18)
field(fs, line+19,19,w=30,t='prod_desc',h=18)
field(fs, line+19,55,w=6, t='prod_qty',h=18)
field(fs, line+19,64,w=9,t='prod_price',h=18)
field(fs, line+19,75,w=5,t='prod_unit',h=18)
field(fs, line+19,81,w=6,t='prod_blank',h=18)
field(fs, line+19,90,w=11,t='prod_net',h=18)
field(fs, line+19,103,w=2,t='prod_vcode',h=18)
field(fs, line+38,0, w=4,t='summ_code',h=4)
field(fs, line+38,5, w=9,t='summ_netamt',h=4)
field(fs, line+38,14,w=6,t='summ_rate',h=4)
field(fs, line+38,25,w=7,t='summ_vat',h=4)
field(fs, line+37, 89,w=12,t='tot_net')
field(fs, line+39, 89,w=12,t='tot_vat')
field(fs, line+42, 89,w=12,t='tot_due')
field(fs, line+38, 36,w=40,t='summ_box',h=3)
all_fields += fs
extracted = self.populate(lines, fs)
page_data.setdefault(extracted['accno'], []).append(extracted)
return (all_fields, page_data)
def extractDelnote(self, job, lines, (rows,cols)):
all_fields = []
page_data = collections.OrderedDict()
pages = (rows-48)/48
for page in range(pages):
line =(page+1) * 48
fs = []
field(fs, line+0, 0,w=20,t='doctype')
field(fs, line+0, 95,w=10,t='date')
field(fs, line+2, 95,w=10,t='page')
field(fs, line+4, 95,w=10,h=2,t='doc_num')
field(fs, line+8, 12,w=38,h=6,t='addr_invoice')
field(fs, line+8, 66,w=38,h=6,t='addr_delivery')
field(fs, line+15,75,t='instructions',w=30,h=2)
field(fs, line+16,0,w=8,t='accno')
field(fs, line+16,9,w=10,t='custref')
field(fs, line+16,20,w=7,t='ourref')
field(fs, line+16,28,w=8,t='ord_date')
field(fs, line+16,66,w=8,t='req_date')
field(fs, line+16,40,w=26,t='salesperson')
field(fs, line+19,0,w=15,t='prod_code',h=18)
field(fs, line+19,18,w=30,t='prod_desc',h=18)
field(fs, line+19,53,w=6, t='prod_qty',h=18)
field(fs, line+19,64,w=9,t='prod_price',h=18)
field(fs, line+19,75,w=5,t='prod_unit',h=18)
field(fs, line+19,83,w=5,t='prod_blank',h=18)
field(fs, line+19,90,w=11,t='prod_net',h=18)
field(fs, line+19,103,w=2,t='prod_vcode',h=18)
field(fs, line+38, 35,w=44,t='summ_box',h=3)
all_fields += fs
extracted = self.populate(lines, fs)
page_data.setdefault(extracted['accno'], []).append(extracted)
return (all_fields, page_data)
def extractStatement(self, job, lines, (rows,cols)):
# any lines after line containing 'PRINT STATEMENT SUMMARY' should be ignored
rows = min([rows] + [lnum for (lnum,text) in enumerate(lines) if 'PRINT STATEMENT SUMMARY' in text])
all_fields = []
page_data = collections.OrderedDict()
pages = (rows-51)/51
for page in range(pages):
line =(page+1) * 51
fs = []
field(fs, line+12,58,w=10,t='date')
field(fs, line+12,92,w=10,t='date_recv')
field(fs, line+1, 82,w=10,t='page')
field(fs, line+8, 12,w=38,h=6,t='addr_invoice')
field(fs, line+10,58,w=10,t='accno')
field(fs, line+19,1 ,w=9, t='prod_date',h=22)
field(fs, line+19,12,w=24,t='prod_code',h=22)
field(fs, line+19,37,w=4, t='prod_trans',h=22)
field(fs, line+19,43,w=12,t='prod_debt',h=22)
field(fs, line+19,57,w=12,t='prod_credit',h=22)
field(fs, line+19,71,w=12,t='prod_bal',h=22)
field(fs, line+19,85,w=8, t='prod_date',h=22)
field(fs, line+19,95,w=9,t='prod_ref',h=22)
field(fs, line+19,104,w=12,t='prod_total',h=22)
field(fs, line+19,116,w=2, t='prod_tick',h=22)
field(fs, line+41, 44,w=12,t='tot_debt')
field(fs, line+41, 57,w=12,t='tot_credit')
field(fs, line+41, 71,w=12,t='tot_bal')
field(fs, line+41, 104,w=13,t='tot_topay')
field(fs, line+42, 16,w=40,t='summ_box',h=3)
field(fs, line+47,8,w=14,t='age_curr')
field(fs, line+47,22,w=14,t='age_1m')
field(fs, line+47,36,w=14,t='age_2m')
field(fs, line+47,50,w=14,t='age_3m')
field(fs, line+47,69,w=14,t='age_due')
all_fields += fs
extracted = self.populate(lines, fs)
page_data.setdefault(extracted['accno'], []).append(extracted)
return (all_fields, page_data)
def extractPurchase(self, job, lines, (rows,cols)):
all_fields = []
page_data = collections.OrderedDict()
pages = (rows-48)/48
for page in range(pages):
line =(page+1) * 48
fs = []
field(fs, line+2, 0,w=20,t='doctype')
field(fs, line+2, 95,w=10,t='date')
field(fs, line+4, 95,w=10,t='page')
field(fs, line+6, 95,w=14,h=1,t='doc_num')
field(fs, line+9, 14,w=38,h=6,t='addr_invoice')
field(fs, line+2, 53,w=38,h=5,t='addr_office')
field(fs, line+9, 67,w=38,h=6,t='addr_delivery')
field(fs, line+15,75,t='instructions',w=30,h=2)
field(fs, line+17,0,w=8,t='accno')
field(fs, line+17,9,w=10,t='custref')
field(fs, line+17,20,w=20,t='ourref')
field(fs, line+17,44,w=18,t='ourcontact')
field(fs, line+17,65,w=8,t='orderdate')
field(fs, line+20,0 ,w=14, t='prod_code',h=20)
field(fs, line+20,21,w=30,t='prod_desc',h=20)
field(fs, line+20,52,w=6, t='prod_qty',h=20)
field(fs, line+20,65,w=11,t='prod_price',h=20)
field(fs, line+20,74,w=8,t='prod_unit',h=20)
field(fs, line+43,84,w=12,t='tot_net')
all_fields += fs
extracted = self.populate(lines, fs)
page_data.setdefault(extracted['accno'], []).append(extracted)
return (all_fields, page_data)
def extractRemittance(self, job, lines, (rows,cols)):
all_fields = []
page_data = collections.OrderedDict()
pages = (rows-48)/48
for page in range(pages):
line =(page+1) * 48
fs = []
field(fs, line+0, 8,w=38,h=5,t='addr_firm')
field(fs, line+0, 68,w=10,t='date')
field(fs, line+2, 68,w=10,t='page')
field(fs, line+4, 68,w=14,t='doc_num')
field(fs, line+6, 8,w=38,h=5,t='addr_invoice')
field(fs, line+17,0,w=20,h=20,t='rem_desc')
field(fs, line+17,21,w=10,h=20,t='rem_ourref')
field(fs, line+17,32,w=13,h=20,t='rem_yourref')
field(fs, line+17,46,w=10,h=20,t='rem_net')
field(fs, line+17,58,w=8,h=20,t='rem_vat')
field(fs, line+17,70,w=9,h=20,t='rem_gross')
field(fs, line+40,8,w=40,t='instructions',h=2)
field(fs, line+38,60,w=19,t='amt_discount')
field(fs, line+40,60,w=19,t='amt_encl')
all_fields += fs
extracted = self.populate(lines, fs)
page_data.setdefault(extracted['doc_num'], []).append(extracted)
return (all_fields, page_data)
def extractPicklist(self, job, lines, (rows,cols)):
all_fields = []
page_data = collections.defaultdict(list)
# variable length per page, split into pages by pagebreak
line_from = 0
for i, line in enumerate(lines):
if "\f" in line:
# Skip summary pages (if printed)
if not 'STOCK TO BE PICKED (SUMMARY)' in lines[line_from+2]:
fs = []
field(fs, line_from+6,0,w=100,t='data',h=i-(line_from+6))
field(fs, line_from,120,w=10,t='page',h=1)
field(fs, line_from+2,104,w=25,t='dt',h=1)
field(fs, line_from+2,40,w=20,t='hdr',h=1)
all_fields += fs
# we can strip the RHS of cols, stripping left ruins alignment
extracted = self.populate(lines, fs, stripText=False)
page_data['all'].append(extracted)
line_from = i
return (all_fields, page_data)
def populate(self, lines, fs, stripText=True):
(rows, cols) = (len(lines), max([len(line) for line in lines]))
# if any fields extend beyond the document, extends the number of columns
cols = max(cols, max([c['c']+c['w'] for c in fs]))
rows = max(rows, max([c['r']+c['h'] for c in fs]))
high = [[None for col in range(cols)] for row in range(rows)]
for c in fs:
c['text'] = ''
for row in range(c['r'], c['r']+c['h']):
for col in range(c['c'], c['c']+c['w']):
high[row][col] = c
for row,line in enumerate(lines):
for col,char in enumerate(line + (' '*(cols-len(line)))):
if high[row][col]:
node = high[row][col]
if not node['line'] == row:
node['text'] += '\n'
node['line'] = row
if not char == '\f':
node['text'] += char
data = {}
for c in fs:
if stripText:
data[c['t']] = '\n'.join( [ s.strip() for s in c['text'].split('\n')] )
else:
data[c['t']] = c['text']
return data
if __name__=="__main__":
x = DocParser()