summaryrefslogtreecommitdiff
path: root/python-econametranslator.spec
blob: b2e88f013f590717f4d7754c7bcd91d08ca2d1d4 (plain)
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
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
%global _empty_manifest_terminate_build 0
Name:		python-EcoNameTranslator
Version:	2.1
Release:	1
Summary:	A lightweight but powerful package for full management and translation of ecological names
License:	MIT License
URL:		https://github.com/Daniel-Davies/MedeinaTranslator
Source0:	https://mirrors.aliyun.com/pypi/web/packages/bc/6a/89694fa60516b943c044bd4865f3763f332d1c949bb56e4fd5b10d8ad063/EcoNameTranslator-2.1.tar.gz
BuildArch:	noarch

Requires:	python3-taxon-parser

%description
# The Ecological Name Translator

### What is it?

A lightweight python package containing everything you need for translation and management of ecological names. The package takes inspiration from the "taxize" package in R, and currently provides all of it's functionality. On top of this however, the EcoNameTranslator aims to be far more powerful; rather than being a thin wrapper around specific ecological name data-stores, the multiple data-stores are leveraged together alongside statistical inference to provide more coherent output and failure correction of the underlying APIs and user input. API calls are made concurrently for increased performance. 

### Functionality

##### Get Taxonomy For A Scientific Name

Given a list of scientific names (at any taxonomic rank) this function will standardise and spell check your input names, before returning a taxonomic profile for each name:

```python
from EcoNameTranslator import classify
scientific_names = classify(['Vulpes vulpes','Delphinidae']) 
# {
#   'vulpes vulpes': {'species': 'vulpes vulpes','genus':'vulpes','family':'canidae'...},
#   'delphinidae': {'family': 'delphinidae','order': 'cetacea','class': 'mammalia'...}
# } 
```

The output of multiple databases is taken by the classify funcion, and a consensus protocol is run to determine the most likely true taxonomic ranking. This is to guard against inconsistencies (or false inputs) that occur in some databases, which arise from time to time, especially for lesser known species. 


##### Common Name To Scientific Name

A list of common names are accepted as input, which are then mapped into their scientific species names:

```python
from EcoNameTranslator import to_scientific
scientific_names = to_scientific(['blackbird']) 
# {
#   'blackbird': ['Turdus merula', 'Chrysomus icterocephalus', 'Agelaius assimilis'...],
# } 
```

This basic version should suit most applications- but some common names can differ from what you may mean; for example, suppose we want to obtain various species of crocodile:

```python
scientific_names = to_scientific(['crocodile']) 
# {
#   'crocodile': ['Crocodylus novaeguineae', 'Crocodylus johnsoni','Pseudocarcharias kamoharai'...]
# } 
```

But oh no! Pseudocarcharias kamoharai isn't a crocodile...it's the "crocodile shark". If you would like to guard against these natural language issues, you can use the sanityCheck parameter in the to_scientific function, as follows:

```python
scientific_names = to_scientific(['crocodile'],sanityCheck=True) 
# {
#   'crocodile': ['crocodylus acutus', 'crocodylus moreletii', 'crocodylus novaeguineae'...]
# } 
```

Now, only the species that we commonly know as crocodiles will be returned. (Note however that as a side effect, this will also remove any additional specifics in the name- for example,  "Osteolaemus tetraspis tetraspis" will become simply "Osteolaemus tetraspis")

##### Scientific Name To Common

Given a list of scientific names (at any taxonomic rank) this function will standardise and spell check your input names, before returning the common English names that can describe the taxonmic input name

```python
from EcoNameTranslator import to_common
common_names = to_common(['vulpes vulpes','ursus']) 
# {
#   'vulpes vulpes': ['Red Fox','Renard Roux'],
#   'ursus': ['Asiatic Black Bear', 'Mexican Grizzly Bear', 'American Black Bear', ...]
# } 
```

##### Any Unstandardised Names To Scientific Species

A list of ecological names, in any format, is accepted as input. This undergoes a data-cleaning procedure (namely, removing nomenclature flags and other redundant information), after which the following actions are taken:

- Names that are already in a standard species format (that is, genus + species), have any spelling errors corrected and are passed back

- Names at higher levels of taxonomy again have any spelling mistakes corrected, and are then mapped to a list of specific species names

- Common names (currently, English only) are mapped to all of the scientific species names that can be described by the common name)

```python
from EcoNameTranslator import to_species
#Should be "Panthera tigris"  
wrong_spelling = to_species(['Panhera tigris'])      
# {'Panera tigris':['panthera tigris']}    
```
```python
#Higher taxa    
higher_taxa = to_species(['Vulpes']) 
# {'Vulpes': ['Vulpes lagopus', 'Vulpes ferrilata', 'Vulpes zerda', 'Vulpes vulpes'...]}
```
```python
#Common English name
common_name = to_species(['blackbird']) 
# {'blackbird':['Turdus merula', 'Chrysomus icterocephalus', 'Agelaius assimilis', 'Turdus albocinctus'...]}    
```

The function becomes incredibly useful if you're working with large datasets of names that come from multiple sources. Authors use totally different formats and conventions, which this function will help you map to a standard.


##### Synonyms

Given a list of scientific names (at any taxonomic rank) this function will return the synonyms of the name

```python
from EcoNameTranslator import synonyms
scientific_names = synonyms(['Myodes']) 
# {
#   {'Myodes': ['Clethrionomys', 'Phaulomys', 'Craseomys', 'Evotomys', 'Glareomys', 'Neoaschizomys']}
# } 
```

##### Children

Given a list of names (at any taxonomic rank) this function will return the immediate children under the name

```python
from EcoNameTranslator import children
scientific_names = children(['Vulpes','Felidae','Carnivora']) 
# {
#  'Vulpes': ['Vulpes vulpes', 'Vulpes macrotis', 'Vulpes velox'...],
#  'Felidae': ['Lynx', 'Felis', 'Acinonyx', 'Leopardus'...],
#  'Carnivora': ['Ursidae', 'Mustelidae', 'Procyonidae'...]
# }
```

##### Generalised Downstream Species

Given a list of names (at any taxonomic rank),and a target rank, this function will return the list of children at the specified taxonomic rank for each input name

```python
from EcoNameTranslator import downstream
scientific_names = downstream(['Felidae','Vulpes'],'species')
# {
#  'Vulpes': ['Vulpes vulpes', 'Vulpes macrotis', 'Vulpes velox'...]
#  'Felidae': ['Lynx rufus', 'Lynx lynx', 'Lynx canadensis'...], 
# } 
```

##### Generalised Upstream Species

Given a list of names (at any taxonomic rank),and a target rank, this function will return the list of taxa above the given name

```python
from EcoNameTranslator import upstream
scientific_names = upstream(['Ursus Arctos','Vulpes Vulpes'],'genus')
# {
#  'Ursus Arctos': ['Ursus', 'Ailuropoda', 'Helarctos'...],
#  'Vulpes Vulpes': ['Canis', 'Vulpes', 'Urocyon'...]
# } 
```

##### Lowest intersecting taxonomic rank

```python
from EcoNameTranslator import lowest_rank_intersection
intersection = lowest_rank_intersection(['vulpes vulpes','ursus arctos','panthera tigris','turdus merula'])
# ('phylum', 'chordata')
intersection = lowest_rank_intersection(['felis catus','panthera tigris'])
# ('family', 'felidae')

```

### Contributing

See the Github page for both, [here](https://github.com/Daniel-Davies/MedeinaTranslator). Pull requests are welcome! 

### Coming Soon

- Only some of the functions can currently use multiple databases for running consensus on their output. We will soon add a consensus service layer that enables all functions to use this feature. 
- We will be gradually build out functionality that combines APIs to achieve functionality that cannot be done with one database alone


### Credit 

The package uses various APIs for conversions of names. These are:

- [The Global Names Resolver](https://resolver.globalnames.org/)
- [The Integrated Taxonomic Information System](https://www.itis.gov/)
- [The Global Biodiversity Information Facility](https://www.gbif.org/)




%package -n python3-EcoNameTranslator
Summary:	A lightweight but powerful package for full management and translation of ecological names
Provides:	python-EcoNameTranslator
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-EcoNameTranslator
# The Ecological Name Translator

### What is it?

A lightweight python package containing everything you need for translation and management of ecological names. The package takes inspiration from the "taxize" package in R, and currently provides all of it's functionality. On top of this however, the EcoNameTranslator aims to be far more powerful; rather than being a thin wrapper around specific ecological name data-stores, the multiple data-stores are leveraged together alongside statistical inference to provide more coherent output and failure correction of the underlying APIs and user input. API calls are made concurrently for increased performance. 

### Functionality

##### Get Taxonomy For A Scientific Name

Given a list of scientific names (at any taxonomic rank) this function will standardise and spell check your input names, before returning a taxonomic profile for each name:

```python
from EcoNameTranslator import classify
scientific_names = classify(['Vulpes vulpes','Delphinidae']) 
# {
#   'vulpes vulpes': {'species': 'vulpes vulpes','genus':'vulpes','family':'canidae'...},
#   'delphinidae': {'family': 'delphinidae','order': 'cetacea','class': 'mammalia'...}
# } 
```

The output of multiple databases is taken by the classify funcion, and a consensus protocol is run to determine the most likely true taxonomic ranking. This is to guard against inconsistencies (or false inputs) that occur in some databases, which arise from time to time, especially for lesser known species. 


##### Common Name To Scientific Name

A list of common names are accepted as input, which are then mapped into their scientific species names:

```python
from EcoNameTranslator import to_scientific
scientific_names = to_scientific(['blackbird']) 
# {
#   'blackbird': ['Turdus merula', 'Chrysomus icterocephalus', 'Agelaius assimilis'...],
# } 
```

This basic version should suit most applications- but some common names can differ from what you may mean; for example, suppose we want to obtain various species of crocodile:

```python
scientific_names = to_scientific(['crocodile']) 
# {
#   'crocodile': ['Crocodylus novaeguineae', 'Crocodylus johnsoni','Pseudocarcharias kamoharai'...]
# } 
```

But oh no! Pseudocarcharias kamoharai isn't a crocodile...it's the "crocodile shark". If you would like to guard against these natural language issues, you can use the sanityCheck parameter in the to_scientific function, as follows:

```python
scientific_names = to_scientific(['crocodile'],sanityCheck=True) 
# {
#   'crocodile': ['crocodylus acutus', 'crocodylus moreletii', 'crocodylus novaeguineae'...]
# } 
```

Now, only the species that we commonly know as crocodiles will be returned. (Note however that as a side effect, this will also remove any additional specifics in the name- for example,  "Osteolaemus tetraspis tetraspis" will become simply "Osteolaemus tetraspis")

##### Scientific Name To Common

Given a list of scientific names (at any taxonomic rank) this function will standardise and spell check your input names, before returning the common English names that can describe the taxonmic input name

```python
from EcoNameTranslator import to_common
common_names = to_common(['vulpes vulpes','ursus']) 
# {
#   'vulpes vulpes': ['Red Fox','Renard Roux'],
#   'ursus': ['Asiatic Black Bear', 'Mexican Grizzly Bear', 'American Black Bear', ...]
# } 
```

##### Any Unstandardised Names To Scientific Species

A list of ecological names, in any format, is accepted as input. This undergoes a data-cleaning procedure (namely, removing nomenclature flags and other redundant information), after which the following actions are taken:

- Names that are already in a standard species format (that is, genus + species), have any spelling errors corrected and are passed back

- Names at higher levels of taxonomy again have any spelling mistakes corrected, and are then mapped to a list of specific species names

- Common names (currently, English only) are mapped to all of the scientific species names that can be described by the common name)

```python
from EcoNameTranslator import to_species
#Should be "Panthera tigris"  
wrong_spelling = to_species(['Panhera tigris'])      
# {'Panera tigris':['panthera tigris']}    
```
```python
#Higher taxa    
higher_taxa = to_species(['Vulpes']) 
# {'Vulpes': ['Vulpes lagopus', 'Vulpes ferrilata', 'Vulpes zerda', 'Vulpes vulpes'...]}
```
```python
#Common English name
common_name = to_species(['blackbird']) 
# {'blackbird':['Turdus merula', 'Chrysomus icterocephalus', 'Agelaius assimilis', 'Turdus albocinctus'...]}    
```

The function becomes incredibly useful if you're working with large datasets of names that come from multiple sources. Authors use totally different formats and conventions, which this function will help you map to a standard.


##### Synonyms

Given a list of scientific names (at any taxonomic rank) this function will return the synonyms of the name

```python
from EcoNameTranslator import synonyms
scientific_names = synonyms(['Myodes']) 
# {
#   {'Myodes': ['Clethrionomys', 'Phaulomys', 'Craseomys', 'Evotomys', 'Glareomys', 'Neoaschizomys']}
# } 
```

##### Children

Given a list of names (at any taxonomic rank) this function will return the immediate children under the name

```python
from EcoNameTranslator import children
scientific_names = children(['Vulpes','Felidae','Carnivora']) 
# {
#  'Vulpes': ['Vulpes vulpes', 'Vulpes macrotis', 'Vulpes velox'...],
#  'Felidae': ['Lynx', 'Felis', 'Acinonyx', 'Leopardus'...],
#  'Carnivora': ['Ursidae', 'Mustelidae', 'Procyonidae'...]
# }
```

##### Generalised Downstream Species

Given a list of names (at any taxonomic rank),and a target rank, this function will return the list of children at the specified taxonomic rank for each input name

```python
from EcoNameTranslator import downstream
scientific_names = downstream(['Felidae','Vulpes'],'species')
# {
#  'Vulpes': ['Vulpes vulpes', 'Vulpes macrotis', 'Vulpes velox'...]
#  'Felidae': ['Lynx rufus', 'Lynx lynx', 'Lynx canadensis'...], 
# } 
```

##### Generalised Upstream Species

Given a list of names (at any taxonomic rank),and a target rank, this function will return the list of taxa above the given name

```python
from EcoNameTranslator import upstream
scientific_names = upstream(['Ursus Arctos','Vulpes Vulpes'],'genus')
# {
#  'Ursus Arctos': ['Ursus', 'Ailuropoda', 'Helarctos'...],
#  'Vulpes Vulpes': ['Canis', 'Vulpes', 'Urocyon'...]
# } 
```

##### Lowest intersecting taxonomic rank

```python
from EcoNameTranslator import lowest_rank_intersection
intersection = lowest_rank_intersection(['vulpes vulpes','ursus arctos','panthera tigris','turdus merula'])
# ('phylum', 'chordata')
intersection = lowest_rank_intersection(['felis catus','panthera tigris'])
# ('family', 'felidae')

```

### Contributing

See the Github page for both, [here](https://github.com/Daniel-Davies/MedeinaTranslator). Pull requests are welcome! 

### Coming Soon

- Only some of the functions can currently use multiple databases for running consensus on their output. We will soon add a consensus service layer that enables all functions to use this feature. 
- We will be gradually build out functionality that combines APIs to achieve functionality that cannot be done with one database alone


### Credit 

The package uses various APIs for conversions of names. These are:

- [The Global Names Resolver](https://resolver.globalnames.org/)
- [The Integrated Taxonomic Information System](https://www.itis.gov/)
- [The Global Biodiversity Information Facility](https://www.gbif.org/)




%package help
Summary:	Development documents and examples for EcoNameTranslator
Provides:	python3-EcoNameTranslator-doc
%description help
# The Ecological Name Translator

### What is it?

A lightweight python package containing everything you need for translation and management of ecological names. The package takes inspiration from the "taxize" package in R, and currently provides all of it's functionality. On top of this however, the EcoNameTranslator aims to be far more powerful; rather than being a thin wrapper around specific ecological name data-stores, the multiple data-stores are leveraged together alongside statistical inference to provide more coherent output and failure correction of the underlying APIs and user input. API calls are made concurrently for increased performance. 

### Functionality

##### Get Taxonomy For A Scientific Name

Given a list of scientific names (at any taxonomic rank) this function will standardise and spell check your input names, before returning a taxonomic profile for each name:

```python
from EcoNameTranslator import classify
scientific_names = classify(['Vulpes vulpes','Delphinidae']) 
# {
#   'vulpes vulpes': {'species': 'vulpes vulpes','genus':'vulpes','family':'canidae'...},
#   'delphinidae': {'family': 'delphinidae','order': 'cetacea','class': 'mammalia'...}
# } 
```

The output of multiple databases is taken by the classify funcion, and a consensus protocol is run to determine the most likely true taxonomic ranking. This is to guard against inconsistencies (or false inputs) that occur in some databases, which arise from time to time, especially for lesser known species. 


##### Common Name To Scientific Name

A list of common names are accepted as input, which are then mapped into their scientific species names:

```python
from EcoNameTranslator import to_scientific
scientific_names = to_scientific(['blackbird']) 
# {
#   'blackbird': ['Turdus merula', 'Chrysomus icterocephalus', 'Agelaius assimilis'...],
# } 
```

This basic version should suit most applications- but some common names can differ from what you may mean; for example, suppose we want to obtain various species of crocodile:

```python
scientific_names = to_scientific(['crocodile']) 
# {
#   'crocodile': ['Crocodylus novaeguineae', 'Crocodylus johnsoni','Pseudocarcharias kamoharai'...]
# } 
```

But oh no! Pseudocarcharias kamoharai isn't a crocodile...it's the "crocodile shark". If you would like to guard against these natural language issues, you can use the sanityCheck parameter in the to_scientific function, as follows:

```python
scientific_names = to_scientific(['crocodile'],sanityCheck=True) 
# {
#   'crocodile': ['crocodylus acutus', 'crocodylus moreletii', 'crocodylus novaeguineae'...]
# } 
```

Now, only the species that we commonly know as crocodiles will be returned. (Note however that as a side effect, this will also remove any additional specifics in the name- for example,  "Osteolaemus tetraspis tetraspis" will become simply "Osteolaemus tetraspis")

##### Scientific Name To Common

Given a list of scientific names (at any taxonomic rank) this function will standardise and spell check your input names, before returning the common English names that can describe the taxonmic input name

```python
from EcoNameTranslator import to_common
common_names = to_common(['vulpes vulpes','ursus']) 
# {
#   'vulpes vulpes': ['Red Fox','Renard Roux'],
#   'ursus': ['Asiatic Black Bear', 'Mexican Grizzly Bear', 'American Black Bear', ...]
# } 
```

##### Any Unstandardised Names To Scientific Species

A list of ecological names, in any format, is accepted as input. This undergoes a data-cleaning procedure (namely, removing nomenclature flags and other redundant information), after which the following actions are taken:

- Names that are already in a standard species format (that is, genus + species), have any spelling errors corrected and are passed back

- Names at higher levels of taxonomy again have any spelling mistakes corrected, and are then mapped to a list of specific species names

- Common names (currently, English only) are mapped to all of the scientific species names that can be described by the common name)

```python
from EcoNameTranslator import to_species
#Should be "Panthera tigris"  
wrong_spelling = to_species(['Panhera tigris'])      
# {'Panera tigris':['panthera tigris']}    
```
```python
#Higher taxa    
higher_taxa = to_species(['Vulpes']) 
# {'Vulpes': ['Vulpes lagopus', 'Vulpes ferrilata', 'Vulpes zerda', 'Vulpes vulpes'...]}
```
```python
#Common English name
common_name = to_species(['blackbird']) 
# {'blackbird':['Turdus merula', 'Chrysomus icterocephalus', 'Agelaius assimilis', 'Turdus albocinctus'...]}    
```

The function becomes incredibly useful if you're working with large datasets of names that come from multiple sources. Authors use totally different formats and conventions, which this function will help you map to a standard.


##### Synonyms

Given a list of scientific names (at any taxonomic rank) this function will return the synonyms of the name

```python
from EcoNameTranslator import synonyms
scientific_names = synonyms(['Myodes']) 
# {
#   {'Myodes': ['Clethrionomys', 'Phaulomys', 'Craseomys', 'Evotomys', 'Glareomys', 'Neoaschizomys']}
# } 
```

##### Children

Given a list of names (at any taxonomic rank) this function will return the immediate children under the name

```python
from EcoNameTranslator import children
scientific_names = children(['Vulpes','Felidae','Carnivora']) 
# {
#  'Vulpes': ['Vulpes vulpes', 'Vulpes macrotis', 'Vulpes velox'...],
#  'Felidae': ['Lynx', 'Felis', 'Acinonyx', 'Leopardus'...],
#  'Carnivora': ['Ursidae', 'Mustelidae', 'Procyonidae'...]
# }
```

##### Generalised Downstream Species

Given a list of names (at any taxonomic rank),and a target rank, this function will return the list of children at the specified taxonomic rank for each input name

```python
from EcoNameTranslator import downstream
scientific_names = downstream(['Felidae','Vulpes'],'species')
# {
#  'Vulpes': ['Vulpes vulpes', 'Vulpes macrotis', 'Vulpes velox'...]
#  'Felidae': ['Lynx rufus', 'Lynx lynx', 'Lynx canadensis'...], 
# } 
```

##### Generalised Upstream Species

Given a list of names (at any taxonomic rank),and a target rank, this function will return the list of taxa above the given name

```python
from EcoNameTranslator import upstream
scientific_names = upstream(['Ursus Arctos','Vulpes Vulpes'],'genus')
# {
#  'Ursus Arctos': ['Ursus', 'Ailuropoda', 'Helarctos'...],
#  'Vulpes Vulpes': ['Canis', 'Vulpes', 'Urocyon'...]
# } 
```

##### Lowest intersecting taxonomic rank

```python
from EcoNameTranslator import lowest_rank_intersection
intersection = lowest_rank_intersection(['vulpes vulpes','ursus arctos','panthera tigris','turdus merula'])
# ('phylum', 'chordata')
intersection = lowest_rank_intersection(['felis catus','panthera tigris'])
# ('family', 'felidae')

```

### Contributing

See the Github page for both, [here](https://github.com/Daniel-Davies/MedeinaTranslator). Pull requests are welcome! 

### Coming Soon

- Only some of the functions can currently use multiple databases for running consensus on their output. We will soon add a consensus service layer that enables all functions to use this feature. 
- We will be gradually build out functionality that combines APIs to achieve functionality that cannot be done with one database alone


### Credit 

The package uses various APIs for conversions of names. These are:

- [The Global Names Resolver](https://resolver.globalnames.org/)
- [The Integrated Taxonomic Information System](https://www.itis.gov/)
- [The Global Biodiversity Information Facility](https://www.gbif.org/)




%prep
%autosetup -n EcoNameTranslator-2.1

%build
%py3_build

%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
	find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
	find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
	find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
	find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
	find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .

%files -n python3-EcoNameTranslator -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 2.1-1
- Package Spec generated