def generateOrders(*args):
count = None
if len(args) == 0:
count = inputCount()
else:
count = args[0]
clientsCount = session.query(Client).count()
startTime = time.time()
if len(args) == 0: print('\nRows generating...')
if int(count) / 5 > clientsCount:
generateClients(int(int(count) / 5) - clientsCount)
session.execute(
f"INSERT INTO \"Order\" (taxes_sum, transaction_date, client_id) "
f"SELECT generateint(500)::numeric, "
f"generatedate(), "
f"getrandomrow('Client')::int "
f"FROM generate_series(1, {count})")
session.commit()
endTime = time.time()
if len(args) == 0:
print('Rows generated! Elapsed time: ' + str(endTime - startTime)[:9] +
's')
input('\nPress any key to continue...')
def generateOrderRelation(*args):
count = None
if len(args) == 0:
count = inputCount()
else:
count = args[0]
if session.query(Product).count() < 10:
raise Exception(
'Too few product in the database. Please scrap or parse some data')
ordersCount = session.query(Order).count()
startTime = time.time()
if len(args) == 0: print('\nRows generating...')
if int(count) / 10 > ordersCount:
generateOrders(int(int(count) / 10) - ordersCount)
session.execute(
f"INSERT INTO \"Link_Product-Order\" (product_id, order_id) "
f"SELECT getrandomrow('Product')::int, "
f"getrandomrow('Order')::int "
f"FROM generate_series(1,{count})")
session.commit()
endTime = time.time()
if len(args) == 0:
print('Rows generated! Elapsed time: ' + str(endTime - startTime)[:9] +
's')
input('\nPress any key to continue...')
def update_payment_link_by_id(id, **kwargs):
try:
update = payment_links_table.update().values(**kwargs).where(
payment_links_table.c.id == int(id))
session.execute(update)
except Exception as e:
print(e)
return redirect(url_for('.create_payment_link'))
def commit_history(self):
# first delete any old stored history
# note that if the max lines config variable is shortened that some history will hang around
# I don't see this as a huge problem
session.execute('DELETE FROM history LIMIT %d' % len(self.history) )
# now insert everything we have stored so far
session.executemany( 'INSERT INTO history VALUES (?,?,?)', self.history)
conn.commit()
def _handle(self, item):
values = item.body['values']
model = get_model(item.attrs['model'])
try:
session.execute('insert into %s values %s' % (
model.__tablename__, ','.join(values)
))
session.commit()
except Exception as e:
print(f'Error in bulk insert {item.id}')
def forget_all(self,keyvalue):
phrase = self.get_phrase_by_text(keyvalue)
try:
session.execute('DELETE FROM responses WHERE phrase_id=?',[phrase['id']])
session.execute('DELETE FROM phrase WHERE phrase_id=?',[phrase['id']] )
conn.commit()
except (AttributeError,KeyError):
raise PhraseNotFound('That phrase does not exist')
return True
def main():
session.execute('truncate table {}'.format(NogizakaMemberTable.__table__))
ret = namelist()
for elem in ret:
print(elem)
member = NogizakaMemberTable()
member.name = elem["name"]
member.namekana = elem["name_kana"]
member.birthday = elem["birthday"]
session.add(member)
session.commit()
def forget_response(self,keyvalue,response):
phrase = self.get_phrase_by_text(keyvalue)
try:
response = self.get_response_by_text(response, phrase['id'])
try:
response_id = response['id']
session.execute('DELETE FROM responses WHERE id=?',[response_id])
conn.commit()
except (AttributeError,KeyError):
raise ResponseNotFound('That response does not exist')
except (AttributeError,KeyError):
raise PhraseNotFound('That phrase does not exist')
def parse2():
data_dict = parseCsv(
'../data/csv/DatafinitiElectronicsProductsPricingData.csv', [
'name', 'brand', 'categories', 'dateAdded', 'manufacturer',
'primaryCategories', 'prices.amountMin'
], 'name')
# Adding Products to database:
products_count = 0
categories_count = 0
links_count = 0
for row in data_dict:
new_product = Product(row['name'], row['brand'], row['manufacturer'],
row['dateAdded'],
int(float(row['prices.amountMin'])))
session.add(new_product)
session.commit()
products_count += 1
session.refresh(new_product)
# Adding categories to database:
category_names = row['categories'].split(',')
for category_name in category_names:
checked_categories = session.query(Category).filter(
Category.name == category_name).all()
if len(checked_categories) == 0:
new_category = Category(category_name,
row['primaryCategories'])
session.add(new_category)
session.commit()
categories_count += 1
session.refresh(new_category)
# Adding link:
ins = links_products_categories.insert().values(
product_id=new_product.id, category_id=new_category.id)
session.execute(ins)
else:
ins = links_products_categories.insert().values(
product_id=new_product.id,
category_id=checked_categories[0].id)
session.execute(ins)
links_count += 1
session.commit()
print(
f'Added {products_count} products, {categories_count} categories and {links_count} links.'
)
input('\nPress any key to continue...')
def getProductsByCategory():
category = input('Enter category for scrapping: ')
data = scrape(f'https://www.amazon.com/s?k={category}')
if not data['products']:
raise Exception('Null')
products_count = 0
categories_count = 0
links_count = 0
for raw in data['products']:
print(f"Get product from {raw['url']}")
if raw['price'] != None:
price = int(float(re.findall("\d+\.\d+", raw['price'])[0]))
else:
price = random.randint(200, 5000)
new_product = Product(raw['title'], '', '',
datetime.today().strftime('%Y-%m-%d'), price)
session.add(new_product)
session.commit()
products_count += 1
session.refresh(new_product)
# Adding categories to database:
checked_categories = session.query(Category).filter(
Category.name == category).all()
if len(checked_categories) == 0:
new_category = Category(category, category)
session.add(new_category)
session.commit()
categories_count += 1
session.refresh(new_category)
# Adding link:
ins = links_products_categories.insert().values(
product_id=new_product.id, category_id=new_category.id)
session.execute(ins)
else:
ins = links_products_categories.insert().values(
product_id=new_product.id,
category_id=checked_categories[0].id)
session.execute(ins)
links_count += 1
session.commit()
print(
f'\nAdded {products_count} products, {categories_count} categories and {links_count} links.'
)
input('\nPress any key to continue...')
def setUp(self):
global engine
global session
global insp
url = os.getenv("PIFPAF_POSTGRESQL_URL")
if not url:
self.skipTest("No database URL set")
engine = sqlalchemy.create_engine(url)
session = Session(engine)
insp = inspect(engine)
session.execute(
"create table books(id int primary key, name varchar(20), author varchar(20), read boolean);"
)
session.commit()
self.add_data()
def get_command_id(command_id):
"""
Returns as json the command details that have been processed
---
tags: [commands]
responses:
200:
description: Commands returned OK
400:
description: Commands not found
"""
commands = session.query(Command)
commands = (str(commands))
commands += " where commands.id={0}".format(command_id)
result = session.execute(commands)
json_data = []
for r in result:
json_data.append({
'id': r[0],
'command_string': r[1],
'length': r[2],
'duration': r[3],
'output': r[4].decode()
})
if not json_data:
return "Commands not found"
json_data = json.dumps(json_data)
return jsonify(json.loads(json_data))
def create_payment_link():
insert = sqlalchemy.insert(payment_links_table).values(created=False)
result = session.execute(insert)
return redirect(url_for(
'.title_and_description',
id=result.lastrowid,
))
def getCount(self):
try:
return session.execute(
select([func.count()]).select_from(self.instance)).scalar()
except Exception as err:
print("Get count error! ", err)
raise err
def save_residues(tit: pypka.Titration, pid: int) -> pypka.Titration:
# Save residue-level details
(
all_sites,
_,
_,
_,
) = tit.getSiteInteractions()
for site in all_sites:
residue_details = {
"pid": pid,
"residue_number": site.getResNumber(),
"residue_type": site.res_name,
"chain": site.molecule.chain,
}
res_insert = insert(Residue).values(residue_details)
res_insert = res_insert.on_conflict_do_update(
index_elements=["pid", "residue_number", "residue_type", "chain"],
set_={
"pid": pid
},
).returning(Residue.resid)
result = session.execute(res_insert)
resid = result.fetchall()[0][0]
site.resid = resid
session.commit()
return tit
def get_payment_link_by_id(id):
select = sqlalchemy.select([payment_links_table
]).where(payment_links_table.c.id == int(id))
result = session.execute(select).fetchone()
if not result:
abort(404)
id, created, title, slug, description, ammount, metadata = (
session.execute(select).fetchone())
return {
'id': id,
'created': created,
'title': title,
'slug': slug,
'description': description,
'ammount': ammount,
'metadata': metadata,
}
def payment_link(slug):
try:
link = session.query(payment_links_table).filter_by(slug=slug).one()
except sqlalchemy.orm.exc.NoResultFound:
abort(404)
if request.method == 'POST':
insert = sqlalchemy.insert(transactions_table).values(
ammount=link.ammount,
metadata=link.metadata,
)
session.execute(insert)
return redirect(url_for('.confirmation', slug=slug))
return render_template(
"pay.html",
link=link,
)
def listar(nome_tabela):
result = session.execute(nome_tabela.__table__.select())
con = 1
res = {}
for row in result:
res[con] = dict(row)
con += 1
return res
def get(self, poll_id):
poll = session.execute('SELECT options FROM polls WHERE id = :id', {
'id': poll_id
}).fetchone()
if not poll:
return 404, 404
response = []
for index, option in enumerate(poll[0].split(",")):
votes = session.execute(
'SELECT count(*), count(DISTINCT ip) FROM votes WHERE poll_id = :poll_id AND option=:option',
{
'poll_id': poll_id,
'option': index
}).fetchone()
response.append({
'name': option,
'votes': votes[0] if votes else 0,
'unique_votes': votes[1] if votes else 0
})
return response, 201
def add_data(self):
session.execute(
"insert into books values(1, 'Sapiens', 'Harari', false);")
session.execute(
"insert into books values(2, 'Meluha', 'Amish', true);")
session.execute(
"insert into books values(3, 'Harry Potter', 'Rowling', true);")
session.commit()
def remember(self,keyvalue,response,added_by):
phrase = self.get_phrase_by_text(keyvalue)
try:
phrase_id = phrase['id']
# we have this phrase, check if we already have this response
response = self.get_response_by_text(response, phrase_id)
try:
response_id = responses['id']
return response_id
except (AttributeError,KeyError):
pass
except (AttributeError,KeyError):
phrase_id = str(uuid4())
session.execute("INSERT INTO phrase (id,added,phrase,added_by) VALUES(?,?,?,?)",
[phrase_id, datetime.now().isoformat(), keyvalue, added_by.name]
)
# insert the response
response_id = str(uuid4())
session.execute("INSERT INTO responses(id,phrase_id,response,added,added_by) VALUES(?,?,?,?,?)",
[response_id, phrase_id, response, datetime.now().isoformat(), added_by.name]
)
return response_id
def generateClients(*args):
count = None
if len(args) == 0:
count = inputCount()
else:
count = args[0]
startTime = time.time()
if len(args) == 0: print('\nRows generating...')
session.execute(
f"INSERT INTO \"Client\" (name, birthday_date, email) "
f"SELECT generatestring(10), "
f"generatedate(), "
f"concat(generatestring(8), '@', generatestring(5), '.com') "
f"from generate_series(1, {count})")
session.commit()
endTime = time.time()
if len(args) == 0:
print('Rows generated! Elapsed time: ' + str(endTime - startTime)[:9] +
's')
input('\nPress any key to continue...')
def get_csv_data(rich_transactions):
column_names = _column_names(rich_transactions)
subquery = _get_subquery(rich_transactions)
results = session.execute(subquery.select())
def datemaker(i):
return (datetime.utcnow() -
timedelta(seconds=(i * 2345))).strftime('%d %b %Y at %-I:%M%p')
rows = [['Ammount', 'Date'] + column_names] + [[
result.ammount,
datemaker(index),
] + [dict(result).get(column_name) for column_name in column_names
] for index, result in enumerate(results.fetchall())]
return "\n".join(",".join(str(column) for column in row) for row in rows)
def get_transactions_and_column_names(rich_transactions):
column_names = _column_names(rich_transactions)
subquery = _get_subquery(rich_transactions)
results = session.execute(subquery.select())
def datemaker(i):
return (datetime.utcnow() -
timedelta(seconds=(i * 2345))).strftime('%d %b %Y at %-I:%M%p')
transactions = reversed([[
{
'text': '£{:,.2f}'.format(result.ammount)
},
{
'text': datemaker(index)
},
] + [{
'html': dict(result).get(column_name),
'classes': '' if dict(result).get(column_name) else 'none',
} for column_name in column_names]
for index, result in enumerate(results.fetchall())
])
column_names = [
{
'text': 'Ammount'
},
{
'text': 'Date'
},
] + [{
'text': column_name
} for column_name in column_names]
return transactions, column_names
def populate():
for ammount, metadata in ([
(100, {
'post': 'Bangkok',
'fee type': 'Fee 19',
'country': 'Thailand'
}),
(100, {
'post': 'Bangkok',
'fee type': 'Fee 19',
'country': 'Thailand'
}),
(100, {
'post': 'Phuket',
'fee type': 'Fee 19',
'country': 'Thailand'
}),
(55, {
'post': 'Phuket',
'fee type': 'Fee 4',
'country': 'Thailand'
}),
(30, {
'post': 'Phuket',
'fee type': 'Fee 6',
'country': 'Thailand'
}),
(100, {
'post': 'Paris',
'fee type': 'Fee 19',
'country': 'France'
}),
(100, {
'post': 'Marseille',
'fee type': 'Fee 19',
'country': 'France'
}),
(100, {
'post': 'Ibiza',
'fee type': 'Fee 19',
'country': 'Spain'
}),
(100, {
'post': 'Ibiza',
'fee type': 'Fee 19',
'country': 'Spain'
}),
(100, {
'post': 'Ibiza',
'fee type': 'Fee 19',
'country': 'Spain'
}),
(55, {
'post': 'Ibiza',
'fee type': 'Fee 4',
'country': 'Spain'
}),
(100, {
'post': 'Barcelona',
'fee type': 'Fee 19',
'country': 'Spain'
}),
] * 3) + [
(100, {
'post': 'Washington',
'fee type': 'Fee 19',
'country': 'USA'
}),
(55, {
'post': 'Boston',
'fee type': 'Fee 4',
'country': 'USA'
}),
(100, {
'post': 'Montreal',
'fee type': 'Fee 19',
'country': 'Canada'
}),
]:
insert = sqlalchemy.insert(transactions_table).values(
ammount=ammount,
metadata=json.dumps(metadata),
)
session.execute(insert)
return redirect(url_for('transactions.transactions_index'))
def delete_keys(cls, device_auth_data_id, keys):
delete_query = cls.__table__.delete().\
where(cls.device_auth_data_id == device_auth_data_id).\
where(cls.app_key_hex.in_(keys))
session.execute(delete_query)
def foo():
session.execute('SELECT 1')
return "ok"
def get_response(self,response_id):
session.execute("SELECT * FROM response WHERE response_id=?",[response_id])
return self.zip_response(session.fetchone())
def __init__(self,history=50):
self.history_max_lines = int(history)
# init history
session.execute('SELECT * FROM history LIMIT %d ORDER BY added DESC', self.history_max_lines)
self.history = session.fetchall().reverse() # reverse so we can append rather than insert
def get_phrase_by_text(self,text):
session.execute("SELECT * FROM phrase WHERE phrase=?",[text])
return self.zip_phrase(session.fetchone())
def tearDown(self):
session.execute("drop table books;")
session.commit()
def get_response_by_text(self,text,phrase_id):
session.execute("SELECT * FROM response WHERE response=? AND phrase_id=?",[text,phrase_id])
return self.zip_response(session.fetchone())
# iterate over all the word categories and load up each yml file
words = {}
for file_name in listdir('./better_words/words'):
category, extension = splitext(file_name)
if extension == '.yml':
with open('./better_words/words/' + file_name, 'r') as stream:
words[category] = yaml.load(stream)
words = parse_yaml(words)
# Purge old word data from the DB
session.query(Category).delete()
session.query(Word).delete()
session.query(Suggestion).delete()
session.query(Link).delete()
session.execute('DELETE FROM link_to_word_associations')
session.execute('DELETE FROM suggestion_to_word_associations')
for category, value in words._asdict().iteritems():
# Create the category, and store its response
c = Category(slug=category, response=value.response)
session.add(c)
# Create each word entry for within the category
for entry in value.entries:
prefix = category + '_' + entry.type + '_'
suggestion_models = []
for suggestion in entry.suggestions:
model = Suggestion(id=create_id(suggestion, prefix),
word=suggestion)
def init_postgis(tmpdir, dataset, key= None):
print("INITIAILIZING POSTGIS SQL")
nm = dataset["dataset"]
dsid = getDatasetId(nm)
dsname = dsid
# session.execute(f"UPDATE segment SET hull=null WHERE segment.dsid= {dsid}")
# session.execute(f"UPDATE segment SET kde_density=null WHERE segment.dsid= {dsid}")
# cells = sq(Segment).filter(Segment.dsid==dsname).filter(Segment.n_umis>20)
# valid_cells = pd.Series(cells,index =[ c.id for c in cells])
# def make_convex_hull_safe(x):
# if len(x.umis)<3:
# return None
# try:
# return sp_spatial.ConvexHull([[u.x,u.y] for u in x.umis] )
# except Exception as e:
# return None
# hulls = valid_cells.apply(make_convex_hull_safe)
# cells_and_hulls = pd.concat([valid_cells.rename("cell"),hulls.rename("hull")],axis=1)
# for k,r in cells_and_hulls.iterrows():
# hull=r.hull
# points = hull.points
# print(points)
# indices = hull.simplices
# poly_string = "POLYGON(("+", ".join([f"{p[0]} {p[1]}" for p in hull.points[np.concatenate([hull.vertices,[hull.vertices[0]]])]])+"))"
# r.cell.hull = poly_string
# session.add(r.cell)
raw_sql = text("""
UPDATE umi
SET xumi_xy=ST_SetSRID(ST_MakePoint(x, y),4326)
FROM segment
WHERE segment.id = umi.seg
AND umi.dsid=:name;
UPDATE segment SET hull = ch.hull
FROM(
SELECT umi.seg as seg, ST_ConvexHull(ST_Collect(xumi_xy)) as hull
FROM umi JOIN segment ON segment.id= umi.seg
WHERE segment.n_umis>20
AND segment.dsid=:name
GROUP BY umi.seg
) as ch
WHERE ch.seg = segment.id
AND segment.dsid=:name;
""").params(name=dsid)
session.execute(raw_sql)
def array2raster(newRasterfn,rasterOrigin,pixelWidth,pixelHeight,array):
cols = array.shape[1]
rows = array.shape[0]
originX = rasterOrigin[0]
originY = rasterOrigin[1]
driver = gdal.GetDriverByName('GTiff')
outRaster = driver.Create(newRasterfn, cols, rows, 1, gdal.GDT_Byte)
outRaster.SetGeoTransform((originX, pixelWidth, 0, originY, 0, pixelHeight))
outband = outRaster.GetRasterBand(1)
outband.WriteArray(array)
outRasterSRS = osr.SpatialReference()
outRasterSRS.ImportFromEPSG(4326)
outRaster.SetProjection(outRasterSRS.ExportToWkt())
outband.FlushCache()
cells = sq(Segment).filter(Segment.dsid==dsname).filter(Segment.n_umis>20)
for i,c in enumerate(cells):
#f c.id != 300228: continue
#c0 = c
print("SETTING")
coords = np.array([(u.x,u.y) for u in c.umis]).T
points_kde = stats.gaussian_kde(coords)
sf = 20
r = max(c.eval0, c.eval1)*sf
n = 50
h = c.hull
if type(h) == type("STR"):
h = WKBElement(h)
pts = to_shape(h).exterior.xy
pts_df = pd.DataFrame(pts).T.rename({0:"x",1:"y"},axis="columns")
xrange=[pts_df.x.min(), pts_df.x.max()]
yrange=[pts_df.y.min(), pts_df.y.max()]
X,Y = np.meshgrid(np.linspace(xrange[0],xrange[1],n),np.linspace(yrange[0],yrange[1],n))
grid =np.vstack([X.ravel(), Y.ravel()]).T
vals = points_kde.evaluate(grid.T)
vsquare = vals.reshape(n,n)
array =( vsquare / np.max(vsquare) * 255).astype(int)
reversed_arr = array[::-1] # reverse array so the tif looks like the array
rasterOrigin = (xrange[0], yrange[0])
pixelWidth = (xrange[1] - xrange[0]) / n
pixelHeight = (yrange[1] - yrange[0]) / n
newRasterfn = 'test.tif'
array2raster(newRasterfn,rasterOrigin,pixelWidth,pixelHeight,array) # convert array to raster
hexbits = open(newRasterfn,"rb").read().hex()
sub = r"\x" + f"{hexbits}"
query = f"""UPDATE segment SET kde_density=ST_FromGDALRaster('{sub}') WHERE id={c.id}"""
session.execute(query)
session.commit()
raw_sql = text("""
UPDATE umi
SET kde_val= ST_NearestValue(kde_density, ST_SetSRID(umi.xumi_xy,4326 ))
FROM segment
WHERE segment.id = umi.seg
AND umi.dsid=:name;
UPDATE segment SET hull1 = ch.hull
FROM(
SELECT umi.seg as seg, ST_ConvexHull(ST_Collect(xumi_xy)) as hull
FROM umi JOIN segment ON segment.id= umi.seg
WHERE segment.kde_density is not null
AND umi.kde_val >= 1
AND segment.dsid=:name
GROUP BY umi.seg
) as ch
WHERE ch.seg = segment.id
AND segment.dsid=:name;
UPDATE segment SET hull128 = ch.hull
FROM(
SELECT umi.seg as seg, ST_ConvexHull(ST_Collect(xumi_xy)) as hull
FROM umi JOIN segment ON segment.id= umi.seg
WHERE segment.kde_density is not null
AND umi.kde_val >= 128
AND segment.dsid=:name
GROUP BY umi.seg
) as ch
WHERE ch.seg = segment.id
AND segment.dsid=:name;
UPDATE segment SET hull12 = ch.hull
FROM(
SELECT umi.seg as seg, ST_ConvexHull(ST_Collect(xumi_xy)) as hull
FROM umi JOIN segment ON segment.id= umi.seg
WHERE segment.kde_density is not null
AND umi.kde_val >= 12
AND segment.dsid=:name
GROUP BY umi.seg
) as ch
WHERE ch.seg = segment.id
AND segment.dsid=:name;
UPDATE segment SET center = ch.centroid
FROM(
SELECT umi.seg as seg, ST_Centroid(ST_Collect(xumi_xy)) as centroid
FROM umi JOIN segment ON segment.id= umi.seg
WHERE segment.kde_density is not null
AND segment.dsid=:name
GROUP BY umi.seg
) as ch
WHERE ch.seg = segment.id
AND segment.dsid=:name;
UPDATE segment SET area12 = ST_Area(hull12);
update segment set rval=(5915587277.0*id)%255/256 WHERE segment.dsid=:name;
update segment set gval=(5915587277.0*id)/256%255/256 WHERE segment.dsid=:name;
update segment set bval=(5915587277.0*id)/256/256%255/256 WHERE segment.dsid=:name;
""").params(name=dsid)
session.execute(raw_sql)
raw_sql2 = text("""
UPDATE dataset SET raster_2k_red = ST_MapAlgebra(
ST_AddBand(
ST_MakeEmptyRaster(2000,2000, -20, -20, .02, .02, 0, 0, 4326),
1, '8BUI'::text, 5, 0),
images.union_img, '[rast1]*0+[rast2]', null, 'UNION')
FROM (
SELECT rs.dsid as dsid, ST_Union(resampled, 'SUM' ) as union_img
FROM (
SELECT ST_MapAlgebra(
ST_Resample(kde_density, ST_MakeEmptyRaster(2000,2000, -20, -20, .02, .02, 0, 0, 4326),'Bilinear'),
1,null,FORMAT('[rast] * %s ',segment.rval)
) AS resampled,
dsid
FROM segment
WHERE segment.kde_density IS NOT null
AND segment.dsid=:name
) AS rs
GROUP BY rs.dsid
) AS images
WHERE images.dsid = dataset.id
AND dataset.id=:name;
UPDATE dataset SET raster_2k_green = ST_MapAlgebra(
ST_AddBand(
ST_MakeEmptyRaster(2000,2000, -20, -20, .02, .02, 0, 0, 4326),
1, '8BUI'::text, 5, 0),
images.union_img, '[rast1]*0+[rast2]', null, 'UNION')
FROM (
SELECT rs.dsid as dsid, ST_Union(resampled, 'SUM' ) as union_img
FROM (
SELECT ST_MapAlgebra(
ST_Resample(kde_density, ST_MakeEmptyRaster(2000,2000, -20, -20, .02, .02, 0, 0, 4326),'Bilinear'),
1,null,FORMAT('[rast] * %s ',segment.gval)
) AS resampled,
dsid
FROM segment
WHERE segment.kde_density IS NOT null
AND segment.dsid=:name
) AS rs
GROUP BY rs.dsid
) AS images
WHERE images.dsid = dataset.id
AND dataset.id=:name;
UPDATE dataset SET raster_2k_blue = ST_MapAlgebra(
ST_AddBand(
ST_MakeEmptyRaster(2000,2000, -20, -20, .02, .02, 0, 0, 4326),
1, '8BUI'::text, 5, 0),
images.union_img, '[rast1]*0+[rast2]', null, 'UNION')
FROM (
SELECT rs.dsid as dsid, ST_Union(resampled, 'SUM' ) as union_img
FROM (
SELECT ST_MapAlgebra(
ST_Resample(kde_density, ST_MakeEmptyRaster(2000,2000, -20, -20, .02, .02, 0, 0, 4326),'Bilinear'),
1,null,FORMAT('[rast] * %s ',segment.bval)
) AS resampled,
dsid
FROM segment
WHERE segment.kde_density IS NOT null
AND segment.dsid=:name
) AS rs
GROUP BY rs.dsid
) AS images
WHERE images.dsid = dataset.id
AND dataset.id=:name;
UPDATE dataset SET raster_2k_all =
ST_AddBand( ST_AddBand(
raster_2k_red,raster_2k_green), raster_2k_blue)
WHERE dataset.id=:name;
""").params(name=dsid)
session.execute(raw_sql2)
raw_sql3 = text("""
UPDATE segment
SET points = sq.new_geo
FROM (
SELECT segment.id as seg_id, ST_Collect(umi.xumi_xy) as new_geo
FROM segment JOIN umi ON umi.seg = segment.id
WHERE segment.dsid=:name
GROUP BY segment.id
) AS sq
WHERE segment.id=sq.seg_id;
UPDATE segment
SET points_xym_total_reads = sq.new_geo
FROM (
SELECT segment.id AS seg_id, ST_Collect(ST_MakePointM(ST_X(umi.xumi_xy),ST_Y(umi.xumi_xy),umi.total_reads)) as new_geo
FROM segment JOIN umi ON umi.seg = segment.id
WHERE segment.dsid=:name
GROUP BY segment.id
) AS sq
WHERE segment.id = sq.seg_id;
UPDATE segment
SET points_xym_kde = sq.new_geo
FROM (
SELECT segment.id AS seg_id, ST_Collect(ST_MakePointM(ST_X(umi.xumi_xy),ST_Y(umi.xumi_xy),umi.kde_val)) as new_geo
FROM segment JOIN umi ON umi.seg = segment.id
WHERE segment.dsid=:name
GROUP BY segment.id
) AS sq
WHERE segment.id = sq.seg_id;
""").params(name=dsid)
session.execute(raw_sql3)
raw_sql4 = text("""
UPDATE segment
SET points12 = sq.new_geo
FROM (
SELECT segment.id as seg_id, ST_Collect(umi.xumi_xy) as new_geo
FROM segment JOIN umi ON umi.seg = segment.id
WHERE umi.kde_val > 12
AND segment.dsid=:name
GROUP BY segment.id
) AS sq
WHERE segment.id=sq.seg_id;
UPDATE segment
SET points128 = sq.new_geo
FROM (
SELECT segment.id as seg_id, ST_Collect(umi.xumi_xy) as new_geo
FROM segment JOIN umi ON umi.seg = segment.id
WHERE umi.kde_val > 128
AND segment.dsid=:name
GROUP BY segment.id
) AS sq
WHERE segment.id=sq.seg_id;
""").params(name=dsid)
session.execute(raw_sql4)
session.commit()
def alpha_shape(points, alpha):
"""
Compute the alpha shape (concave hull) of a set
of points.
@param points: Iterable container of points.
@param alpha: alpha value to influence the
gooeyness of the border. Smaller numbers
don't fall inward as much as larger numbers.
Too large, and you lose everything!
"""
if len(points) < 4:
# When you have a triangle, there is no sense
# in computing an alpha shape.
return geometry.MultiPoint(list(points)).convex_hull
coords = np.array([point.coords[0] for point in points])
tri = Delaunay(coords)
triangles = coords[tri.vertices]
a = ((triangles[:,0,0] - triangles[:,1,0]) ** 2 + (triangles[:,0,1] - triangles[:,1,1]) ** 2) ** 0.5
b = ((triangles[:,1,0] - triangles[:,2,0]) ** 2 + (triangles[:,1,1] - triangles[:,2,1]) ** 2) ** 0.5
c = ((triangles[:,2,0] - triangles[:,0,0]) ** 2 + (triangles[:,2,1] - triangles[:,0,1]) ** 2) ** 0.5
s = ( a + b + c ) / 2.0
areas = (s*(s-a)*(s-b)*(s-c)) ** 0.5
circums = a * b * c / (4.0 * areas)
filtered = triangles[circums < (1.0 / alpha)]
edge1 = filtered[:,(0,1)]
edge2 = filtered[:,(1,2)]
edge3 = filtered[:,(2,0)]
edge_points = np.unique(np.concatenate((edge1,edge2,edge3)), axis = 0).tolist()
m = geometry.MultiLineString(edge_points)
triangles = list(polygonize(m))
return cascaded_union(triangles), edge_points
for i,c in enumerate(sq(Segment).filter(Segment.dsid== dsid).filter(Segment.n_umis>20).all()):
shp = to_shape(c.points)
alpha = .1/np.mean(np.var(np.array([p.coords[0] for p in shp]).T,1))**.5
if i %20 == 0:
print(i,alpha)
concave_hull, edge_points = alpha_shape(shp, alpha=alpha)
if concave_hull.geom_type == 'MultiPolygon':
concave_hull = max(concave_hull, key=lambda a: a.area)
wkb_element = from_shape(concave_hull)
c.hull = wkb_element
shp = to_shape(c.points12)
alpha = .5/np.mean(np.var(np.array([p.coords[0] for p in shp]).T,1))**.5
concave_hull, edge_points = alpha_shape(shp, alpha=alpha)
if concave_hull.geom_type == 'MultiPolygon':
concave_hull = max(concave_hull, key=lambda a: a.area)
wkb_element = from_shape(concave_hull)
c.hull12 = wkb_element
shp = to_shape(c.points128)
alpha = .5/np.mean(np.var(np.array([p.coords[0] for p in shp]).T,1))**.5
concave_hull, edge_points = alpha_shape(shp, alpha=alpha)
if concave_hull.geom_type == 'MultiPolygon':
concave_hull = max(concave_hull, key=lambda a: a.area)
wkb_element = from_shape(concave_hull)
c.hull128 = wkb_element
session.add(c)
#pTODO] PUT BACK IN COMMITS WHEN THIS CODE IS READY TO RUN!
#session.commit()
return 0
def get_phrase(self,phrase_id):
session.execute("SELECT * FROM phrase WHERE id=?",[phrase_id])
return self.zip_phrase(session.fetchone())
