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# EXAMPLE: vecset_tutorial
# HIDE_START
"""
Code samples for Vector set doc pages:
https://redis.io/docs/latest/develop/data-types/vector-sets/
"""
import redis
from redis.commands.vectorset.commands import (
QuantizationOptions
)
r = redis.Redis(decode_responses=True)
# HIDE_END
# REMOVE_START
r.delete(
"points", "quantSetQ8", "quantSetNoQ",
"quantSetBin", "setNotReduced", "setReduced"
)
# REMOVE_END
# STEP_START vadd
res1 = r.vset().vadd("points", [1.0, 1.0], "pt:A")
print(res1) # >>> 1
res2 = r.vset().vadd("points", [-1.0, -1.0], "pt:B")
print(res2) # >>> 1
res3 = r.vset().vadd("points", [-1.0, 1.0], "pt:C")
print(res3) # >>> 1
res4 = r.vset().vadd("points", [1.0, -1.0], "pt:D")
print(res4) # >>> 1
res5 = r.vset().vadd("points", [1.0, 0], "pt:E")
print(res5) # >>> 1
res6 = r.type("points")
print(res6) # >>> vectorset
# STEP_END
# REMOVE_START
assert res1 == 1
assert res2 == 1
assert res3 == 1
assert res4 == 1
assert res5 == 1
assert res6 == "vectorset"
# REMOVE_END
# STEP_START vcardvdim
res7 = r.vset().vcard("points")
print(res7) # >>> 5
res8 = r.vset().vdim("points")
print(res8) # >>> 2
# STEP_END
# REMOVE_START
assert res7 == 5
assert res8 == 2
# REMOVE_END
# STEP_START vemb
res9 = r.vset().vemb("points", "pt:A")
print(res9) # >>> [0.9999999403953552, 0.9999999403953552]
res10 = r.vset().vemb("points", "pt:B")
print(res10) # >>> [-0.9999999403953552, -0.9999999403953552]
res11 = r.vset().vemb("points", "pt:C")
print(res11) # >>> [-0.9999999403953552, 0.9999999403953552]
res12 = r.vset().vemb("points", "pt:D")
print(res12) # >>> [0.9999999403953552, -0.9999999403953552]
res13 = r.vset().vemb("points", "pt:E")
print(res13) # >>> [1, 0]
# STEP_END
# REMOVE_START
assert 1 - res9[0] < 0.001
assert 1 - res9[1] < 0.001
assert 1 + res10[0] < 0.001
assert 1 + res10[1] < 0.001
assert 1 + res11[0] < 0.001
assert 1 - res11[1] < 0.001
assert 1 - res12[0] < 0.001
assert 1 + res12[1] < 0.001
assert res13 == [1, 0]
# REMOVE_END
# STEP_START attr
res14 = r.vset().vsetattr("points", "pt:A", {
"name": "Point A",
"description": "First point added"
})
print(res14) # >>> 1
res15 = r.vset().vgetattr("points", "pt:A")
print(res15)
# >>> {'name': 'Point A', 'description': 'First point added'}
res16 = r.vset().vsetattr("points", "pt:A", "")
print(res16) # >>> 1
res17 = r.vset().vgetattr("points", "pt:A")
print(res17) # >>> None
# STEP_END
# REMOVE_START
assert res14 == 1
assert res15 == {"name": "Point A", "description": "First point added"}
assert res16 == 1
assert res17 is None
# REMOVE_END
# STEP_START vrem
res18 = r.vset().vadd("points", [0, 0], "pt:F")
print(res18) # >>> 1
res19 = r.vset().vcard("points")
print(res19) # >>> 6
res20 = r.vset().vrem("points", "pt:F")
print(res20) # >>> 1
res21 = r.vset().vcard("points")
print(res21) # >>> 5
# STEP_END
# REMOVE_START
assert res18 == 1
assert res19 == 6
assert res20 == 1
assert res21 == 5
# REMOVE_END
# STEP_START vsim_basic
res22 = r.vset().vsim("points", [0.9, 0.1])
print(res22)
# >>> ['pt:E', 'pt:A', 'pt:D', 'pt:C', 'pt:B']
# STEP_END
# REMOVE_START
assert res22 == ["pt:E", "pt:A", "pt:D", "pt:C", "pt:B"]
# REMOVE_END
# STEP_START vsim_options
res23 = r.vset().vsim(
"points", "pt:A",
with_scores=True,
count=4
)
print(res23)
# >>> {'pt:A': 1.0, 'pt:E': 0.8535534143447876, 'pt:D': 0.5, 'pt:C': 0.5}
# STEP_END
# REMOVE_START
assert res23["pt:A"] == 1.0
assert res23["pt:C"] == 0.5
assert res23["pt:D"] == 0.5
assert res23["pt:E"] - 0.85 < 0.005
# REMOVE_END
# STEP_START vsim_filter
res24 = r.vset().vsetattr("points", "pt:A", {
"size": "large",
"price": 18.99
})
print(res24) # >>> 1
res25 = r.vset().vsetattr("points", "pt:B", {
"size": "large",
"price": 35.99
})
print(res25) # >>> 1
res26 = r.vset().vsetattr("points", "pt:C", {
"size": "large",
"price": 25.99
})
print(res26) # >>> 1
res27 = r.vset().vsetattr("points", "pt:D", {
"size": "small",
"price": 21.00
})
print(res27) # >>> 1
res28 = r.vset().vsetattr("points", "pt:E", {
"size": "small",
"price": 17.75
})
print(res28) # >>> 1
# Return elements in order of distance from point A whose
# `size` attribute is `large`.
res29 = r.vset().vsim(
"points", "pt:A",
filter='.size == "large"'
)
print(res29) # >>> ['pt:A', 'pt:C', 'pt:B']
# Return elements in order of distance from point A whose size is
# `large` and whose price is greater than 20.00.
res30 = r.vset().vsim(
"points", "pt:A",
filter='.size == "large" && .price > 20.00'
)
print(res30) # >>> ['pt:C', 'pt:B']
# STEP_END
# REMOVE_START
assert res24 == 1
assert res25 == 1
assert res26 == 1
assert res27 == 1
assert res28 == 1
assert res30 == ['pt:C', 'pt:B']
# REMOVE_END
# STEP_START add_quant
# Import `QuantizationOptions` enum using:
#
# from redis.commands.vectorset.commands import (
# QuantizationOptions
# )
res31 = r.vset().vadd(
"quantSetQ8", [1.262185, 1.958231],
"quantElement",
quantization=QuantizationOptions.Q8
)
print(res31) # >>> 1
res32 = r.vset().vemb("quantSetQ8", "quantElement")
print(f"Q8: {res32}")
# >>> Q8: [1.2643694877624512, 1.958230972290039]
res33 = r.vset().vadd(
"quantSetNoQ", [1.262185, 1.958231],
"quantElement",
quantization=QuantizationOptions.NOQUANT
)
print(res33) # >>> 1
res34 = r.vset().vemb("quantSetNoQ", "quantElement")
print(f"NOQUANT: {res34}")
# >>> NOQUANT: [1.262184977531433, 1.958230972290039]
res35 = r.vset().vadd(
"quantSetBin", [1.262185, 1.958231],
"quantElement",
quantization=QuantizationOptions.BIN
)
print(res35) # >>> 1
res36 = r.vset().vemb("quantSetBin", "quantElement")
print(f"BIN: {res36}")
# >>> BIN: [1, 1]
# STEP_END
# REMOVE_START
assert res31 == 1
# REMOVE_END
# STEP_START add_reduce
# Create a list of 300 arbitrary values.
values = [x / 299 for x in range(300)]
res37 = r.vset().vadd(
"setNotReduced",
values,
"element"
)
print(res37) # >>> 1
res38 = r.vset().vdim("setNotReduced")
print(res38) # >>> 300
res39 = r.vset().vadd(
"setReduced",
values,
"element",
reduce_dim=100
)
print(res39) # >>> 1
res40 = r.vset().vdim("setReduced") # >>> 100
print(res40)
# STEP_END
|
