# To be used when calling the method

name_input = entry

# User input for testing purposes

# name_input = input("Enter a common species name: ")

results = {}

# Uses the pygbif method to find results

suggest = species.name_suggest(q=name_input, rank='SPECIES', limit=25)

# Pulls the results from the dataset in json format

suggest_data = suggest['data']['results']

# print(suggest_data)

# Formats the data for pythonic purposes

data = suggest_data

# Reads data for each result

for o in data:

# Finds the gbif key

key = o['key']

# Uses pygbif to find number of occurrences of species key

occurs = occurrences.count(taxonKey=key)

# Searches occurrence data for the species key

occur_search = occurrences.search(taxonKey=key)

# print('occur search: ' + str(occur_search))

# for country in countries:

# print(country)

# print(occur_search)

# Runs if species has occurred more than zero times

if occurs > 0:

try:

# Tries to retrieve scientific name

canon_name = o['canonicalName']

except:

continue

# Vernacular name init

vern_name = ''

# Variable for list of vernacular names

names = o['vernacularNames']

# Summary init

summary = ''

try:

# If match found

print('Scientific name: ' + canon_name)

print('Vernacular names: ')

match_found = False

# Reads from results in matched name

for name in names:

# Variable for vernacular name

vern_name = name['vernacularName']

# Used if all languages want to be included

# print(name['vernacularName'])

language = (name['language'])

# Can be changed if user wants to select a specific language

if language == 'eng':

# Checks if vernacular name is matched with search input

if name_input in vern_name and match_found is False:

match_found = True

print(vern_name)

# If no exact match is found it reads the first vernacular name

if match_found is False:

name_store = []

for name in names:

vern_name = name['vernacularName']

language = (name['language'])

if vern_name not in name_store:

name_store.append(vern_name)

if language == 'eng':

print(vern_name)

# Adds scientific and vernacular name to results dictionary

results.setdefault(canon_name, []).append(vern_name)

# print(wikipedia.search(canon_name))

try:

# pulls the wiki page based on canonical name in url (usually works)

# desc = wikipedia.page(canon_name, auto_suggest=True)

# alternative wiki page including all sections

# page = wikipedia.WikipediaPage(canon_name)

# pulls the summary page for the species

summary = wikipedia.summary(canon_name, sentences=2)

# experimental for section pages

# sections = page.sections

# for section in sections:

# print(section)

# github push error, delete this

print(summary)

results.setdefault(canon_name, []).append(summary)

# print(desc.content)

except:

print("No description found")

print('GBIF Key: ' + str(key))

print('GBIF Species Page: ' + 'http://www.gbif.org/species/' + str(key))

print('Count: ' + str(occurs))

# This reads results for occurences and finds countries the species

# was observed in and how many occurrences there

occur_data = occur_search['results']

countries = {}

for occur in occur_data:

try:

country = occur['country']

if country not in countries:

countries[country] = 1

else:

countries[country] += 1

# print(occur['country'])

except:

continue

# for country in countries:

# print(country)

sorted_countries = sorted(countries.items(), key=lambda x: x[1], reverse=True)

if countries != {}:

print('Top 3 Countries Observed: ')

for country in sorted_countries[:3]:

print(str(country))

print('\n')

# return canon_name, vern_name, summary

except:

continue

print(results)

return results

# To be used when calling the method